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Quantum Materials & Devices: Hardware Components & Fabrication

Quantum materials news: quantum device fabrication, superconductors, quantum dots, 2D materials. Quantum hardware components & substrates.

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Quantum materials and devices form the foundational hardware layer enabling all quantum technologies, requiring specialized materials with precise quantum properties including superconductors, topological insulators, 2D materials like graphene, and semiconductor heterostructures for qubit fabrication.

India's Quantum Materials and Devices Initiatives

India's National Quantum Mission includes Quantum Materials & Devices as the fourth thematic vertical with dedicated funding. The QMD Tech Foundation at IIT Delhi serves as the Thematic Hub on Quantum Materials and Devices, established under the T-Hub framework of NQM. The hub focuses on developing indigenous materials for quantum technologies including substrates for superconducting circuits, quantum dots for spin qubits, and specialized semiconductors.

The ₹720 crore investment for quantum fabrication facilities announced in November 2025 supports this vertical, with facilities at: IISc Bengaluru: Quantum computing fabrication for superconducting, photonic, and spin qubits (3-5 qubits per chip initially, scaling to 20-100 qubits); IIT Bombay: Quantum sensing and device fabrication; IIT Delhi: Quantum materials and packaging; IIT Kanpur: Smaller facility for specialized devices.

The Indian Institute of Technology Madras Centre for Quantum Information, Communication and Computing (CQuICC) houses India's first remotely accessible semiconductor qubit facility, capable of fabricating 3-5 qubit chips per run with 95% device yield.

Research Areas: Superconducting materials: Niobium and aluminum thin films for Josephson junctions; Semiconductor quantum dots: Silicon and III-V materials for spin qubits; 2D materials: Graphene, transition metal dichalcogenides for novel qubit designs; Topological materials: Research into materials exhibiting Majorana zero modes; Photonic materials: Silicon photonics, nonlinear optical crystals for quantum light sources.

The Defence Research and Development Organisation (DRDO) develops quantum materials for defense applications including secure communications and sensing. The Department of Atomic Energy (RRCAT, Indore) provides specialized laser and materials processing capabilities for quantum device fabrication. The NQM targets developing superconductors, novel semiconductor structures, and quantum materials for memory and device fabrication as key deliverables within the 8-year mission timeline.

A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubitsquantum-computing

A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits

--> Quantum Physics arXiv:2608.13627 (quant-ph) [Submitted on 13 Aug 2026] Title:A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits Authors:Xudong Liao, Yuan Li, Sainan Huai, Shuyi Pan, Zhenxing Zhang, Zhiwen Zong, Kunliang Bu, Yulei Ye, Wen Zheng, Xinsheng Tan, Yang Yu, Xiaopei Yang, Tianqi Cai, Shengyu Zhang View a PDF of the paper titled A scalable edge-pass Purcell filter for high-fidelity readout of superconducting qubits, by Xudong Liao and 13 other authors View PDF HTML (experimental) Abstract:High-fidelity readout with strong Purcell protection of qubit coherence is essential for scalable superconducting quantum processors, yet the finite passband and sizable footprint of conventional band-pass Purcell filters make them hard to scale. Here we introduce a scalable edge-pass Purcell filter that separates the readout band from the protected qubit band by a single transmission edge, freeing the readout resonators from bandwidth constraint. Depending on whether the transmitting band lies above or below the cutoff, the compact network is realized as a high-pass filter (HPF) or a low-pass filter (LPF). The HPF reaches an average readout fidelity of 99.46(4)% (up to 99.56%) with a 150-ns pulse, and the LPF reaches 99.49(3)% (up to 99.57%) with a 130-ns pulse. The average single-qubit gate fidelities are 99.94% (HPF) and 99.93% (LPF). Relative to the filter-free Purcell limit, the filters substantially extend the qubit lifetime, and the Purcell protection deepens at higher filter order. In addition, an intrinsic dissipation mode of the filter offers a qubit-reset channel. This leads to a compact architecture that unifies fast, high-fidelity readout, Purcell protection, and effective reset within a single filter for large-scale fault-tolerant quantum computation. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13627 [quant-ph]   (or arXiv:2608.13627v1 [quant-ph] for this version)   https://doi.org/10.48

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Heuristic Lookahead Distillation Protocol Searchquantum-computing

Heuristic Lookahead Distillation Protocol Search

--> Quantum Physics arXiv:2608.13644 (quant-ph) [Submitted on 13 Aug 2026] Title:Heuristic Lookahead Distillation Protocol Search Authors:Matthew Barber, Stefano Pirandola View a PDF of the paper titled Heuristic Lookahead Distillation Protocol Search, by Matthew Barber and 1 other authors View PDF HTML (experimental) Abstract:Bipartite qubit entanglement distillation is the process of converting noisy ebits into pure ebits using only local operations and classical communication. This is a core operation for quantum repeaters, enabling such crucial tasks as long-distance quantum communication and distributed quantum computing. In this work, we introduce a method for searching for entanglement distillation protocols and, using this technique, distil qubit Werner states at a higher rate than could be achieved using previously discovered protocols. In particular, we demonstrate the advantage of our new distillation strategy by improving the best-known lower bound for the two-way-assisted quantum capacity of the qubit depolarising channel across a wide range of channel parameters, making progress in one of the long-standing problems of quantum information theory. Comments: Subjects: Quantum Physics (quant-ph); Other Condensed Matter (cond-mat.other); Mathematical Physics (math-ph); Optics (physics.optics) Cite as: arXiv:2608.13644 [quant-ph]   (or arXiv:2608.13644v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13644 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Stefano Pirandola [view email] [v1] Thu, 13 Aug 2026 18:00:02 UTC (368 KB) Full-text links: Access Paper: View a PDF of the paper titled Heuristic Lookahead Distillation Protocol Search, by Matthew Barber and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 Change to browse by: cond-mat cond-mat.other math math-ph

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Entanglement Negativity in Noisy Quantum Volume Samplingquantum-computing

Entanglement Negativity in Noisy Quantum Volume Sampling

--> Quantum Physics arXiv:2608.13654 (quant-ph) [Submitted on 13 Aug 2026] Title:Entanglement Negativity in Noisy Quantum Volume Sampling Authors:Elijah Pelofske, Stephan Eidenbenz View a PDF of the paper titled Entanglement Negativity in Noisy Quantum Volume Sampling, by Elijah Pelofske and 1 other authors View PDF HTML (experimental) Abstract:The Quantum Volume protocol uses scrambling random circuits to benchmark NISQ computers. Quantum Volume is generally well-regarded as a benchmark for small, noisy, quantum computers because it requires the quantum computer to implement many non-local entangling gates within a square-shaped circuit, which incentivizes high qubit count, long qubit coherence times, and low error rates on all hardware gates. Quantum Volume circuits inherently produce high-entanglement states that are fragile to errors and decoherence. The Quantum Volume benchmark measures an observable called heavy-output-probability (HOP), where an HOP of $0.5$ corresponds to complete loss of coherence, and in the limit of system size an HOP $\approx 0.84$ for a fully coherent quantum processor. Here, we numerically study the tradeoff between depolarizing noise, entanglement as quantified by the bipartite negativity measure, and HOP in quantum volume circuits. Our results contextualize prior small scale quantum volume demonstrations on quantum computers and highlight that under depolarizing noise, due to finite system size effects heavy output probabilities can be greater than $0.5$ while the bipartite negativity entanglement has been destroyed. This implies, although improbable, that a NISQ computer could pass the Quantum Volume benchmark test threshold of $2/3$ while the underlying quantum computation has no global entanglement -- albeit only for small $n$. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13654 [quant-ph]   (or arXiv:2608.13654v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13654 Focus to learn more arXi

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Open system probes of renormalization group flowquantum-computing

Open system probes of renormalization group flow

--> Quantum Physics arXiv:2608.13664 (quant-ph) [Submitted on 13 Aug 2026] Title:Open system probes of renormalization group flow Authors:Andrew Keefe, Brenden Bowen, Saptarshi Biswas, Albion Lawrence, Nishant Agarwal, Archana Kamal View a PDF of the paper titled Open system probes of renormalization group flow, by Andrew Keefe and 5 other authors View PDF HTML (experimental) Abstract:Open system probes can provide an efficient means to characterize quantum many-body systems by employing them as engineered environments. The key idea is to map long-range spatial correlations of the environment onto dynamical correlations in the evolution of a simple quantum probe. Using the example of a qubit coupled to a transverse-field Ising model, we show how the non-Markovian rate or spectral flow can be used to identify stable and unstable fixed points, infer scaling dimensions of relevant fields, and deduce the renormalization group flow induced by deformations around any fixed point. Comments: Subjects: Quantum Physics (quant-ph); Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Statistical Mechanics (cond-mat.stat-mech); High Energy Physics - Theory (hep-th) Cite as: arXiv:2608.13664 [quant-ph]   (or arXiv:2608.13664v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13664 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Archana Kamal [view email] [v1] Thu, 13 Aug 2026 18:03:49 UTC (1,088 KB) Full-text links: Access Paper: View a PDF of the paper titled Open system probes of renormalization group flow, by Andrew Keefe and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 Change to browse by: cond-mat cond-mat.mes-hall cond-mat.stat-mech hep-th References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation

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Scalable Test of Genuine Multipartite Entanglement via Partially Randomized Measurementsquantum-computing

Scalable Test of Genuine Multipartite Entanglement via Partially Randomized Measurements

--> Quantum Physics arXiv:2608.13725 (quant-ph) [Submitted on 13 Aug 2026] Title:Scalable Test of Genuine Multipartite Entanglement via Partially Randomized Measurements Authors:Jan Wojcik, Pawel Chrabkowski, Wieslaw Laskowski View a PDF of the paper titled Scalable Test of Genuine Multipartite Entanglement via Partially Randomized Measurements, by Jan Wojcik and 2 other authors View PDF HTML (experimental) Abstract:Certifying genuine multipartite entanglement in quantum systems can require a number of measurements that grows exponentially with the system size. Here we introduce a criterion based on correlation-tensor subsector lengths restricted to local measurement planes and show that it can be evaluated using partially randomized measurements without an explicit exponential dependence on the number of qubits. We derive the corresponding bounds for $k$-separable states and illustrate the criterion using representative families of multipartite entangled states. Finally, we demonstrate the practical applicability of the method on an ion-trap quantum computer by certifying genuine five-partite entanglement. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13725 [quant-ph]   (or arXiv:2608.13725v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13725 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Wieslaw Laskowski [view email] [v1] Thu, 13 Aug 2026 19:37:49 UTC (131 KB) Full-text links: Access Paper: View a PDF of the paper titled Scalable Test of Genuine Multipartite Entanglement via Partially Randomized Measurements, by Jan Wojcik and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bo

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Designing robust molecular spins for quantum technologies with theoretical chemistryquantum-computing

Designing robust molecular spins for quantum technologies with theoretical chemistry

--> Quantum Physics arXiv:2608.13744 (quant-ph) [Submitted on 13 Aug 2026] Title:Designing robust molecular spins for quantum technologies with theoretical chemistry Authors:Timothy J. Krogmeier, Pranay Venkatesh, Mikayla Z. Fahrenbruch, Anthony W. Schlimgen, Andres Montoya-Castillo, Kade Head-Marsden View a PDF of the paper titled Designing robust molecular spins for quantum technologies with theoretical chemistry, by Timothy J. Krogmeier and 5 other authors View PDF HTML (experimental) Abstract:Molecular spins represent a versatile platform for quantum information science, with the potential to offer chemically tunable, addressable qubits. However, achieving this requires understanding and mitigating quantum decoherence. This Chapter provides a theoretical overview of current state-of-the-art chemical theory connecting ab initio electronic structure with open quantum system dynamics to guide the rational design of long-lived molecular qubits. Beginning at the electronic level, multi-reference and relativistic electronic structure methods to parameterize effective spin Hamiltonians are discussed, with a primary focus on accurately capturing $g$-tensors, zero-field splitting, and hyperfine interactions. These parameters feed into models of spin-phonon and spin-spin coupling to quantify $T_1$ and $T_2$ relaxation across various environmental regimes. This Chapter evaluates a hierarchy of dynamical methods, ranging from factorization to matrix product state approaches, balancing computational cost against accuracy and generalizability. Ultimately, mapping these theoretical models to molecular architecture can establish design principles, such as isotopic substitution and spatial spin delocalization, to understand and extend coherence lifetimes. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13744 [quant-ph]   (or arXiv:2608.13744v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13744 Focus to learn more arXiv-issued DOI via Data

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Fast classical simulation of `Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor'quantum-computing

Fast classical simulation of `Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor'

--> Quantum Physics arXiv:2608.13805 (quant-ph) [Submitted on 13 Aug 2026] Title:Fast classical simulation of `Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor' Authors:Xiao-Yu Ouyang, Runze Chi, Garnet Kin-Lic Chan View a PDF of the paper titled Fast classical simulation of `Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor', by Xiao-Yu Ouyang and 1 other authors View PDF HTML (experimental) Abstract:We study the Néel quench dynamics of a 1D Fermi-Hubbard model which has recently been simulated on quantum hardware. We demonstrate that the set of 7260 observable trajectories measured in the quantum experiment can be obtained more quickly and accurately through classical tensor network simulation using modest computation. Our result relies on transverse tensor network contraction, where a bond dimension of 32 is already sufficient to reproduce the quantum experiment. We further extend the converged observable trajectories to longer times than in the hardware simulation and in other recent classical simulations. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13805 [quant-ph]   (or arXiv:2608.13805v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13805 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Xiao-Yu Ouyang [view email] [v1] Thu, 13 Aug 2026 22:31:30 UTC (1,382 KB) Full-text links: Access Paper: View a PDF of the paper titled Fast classical simulation of `Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor', by Xiao-Yu Ouyang and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loa

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Resource-efficient quantum eigenvalue transform with commutator scalingquantum-computing

Resource-efficient quantum eigenvalue transform with commutator scaling

--> Quantum Physics arXiv:2608.13862 (quant-ph) [Submitted on 14 Aug 2026] Title:Resource-efficient quantum eigenvalue transform with commutator scaling Authors:Arul Rhik Mazumder, James D. Watson, Samson Wang View a PDF of the paper titled Resource-efficient quantum eigenvalue transform with commutator scaling, by Arul Rhik Mazumder and 2 other authors View PDF Abstract:We develop quantum algorithms for estimating properties of general matrix functions of Hermitian matrices, with applications to phase estimation, Green's function evaluation, and estimating measurement distributions of time-evolved states. The resulting methods exhibit commutator scaling in matrix parameters similar to that usually found for product formulae, lower circuit depth in other parameters, and require only a single ancillary qubit. Our central primitive consists of classically postprocessing randomly chosen product formulae circuits, which mathematically corresponds to an approximation of a Richardson extrapolation. Within our framework, we introduce a protocol for approximating the measurement distributions of quantum states, extending beyond standard observable estimation. We also provide tightened gate complexity bounds for practically relevant systems, including those with k-local interactions, long-tailed matrix ensembles, and conserved quantities. Finally, numerical experiments confirm that our method can achieve significantly shallower circuit depths than standard product formulae in certain parameter regimes, and highlight the potential of their heuristic application. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.13862 [quant-ph]   (or arXiv:2608.13862v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13862 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Samson Wang [view email] [v1] Fri, 14 Aug 2026 01:23:30 UTC (740 KB) Full-text links: Access Paper: View a PDF of the paper titled

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Robust Quantum Extremal Numbersquantum-computing

Robust Quantum Extremal Numbers

--> Quantum Physics arXiv:2608.13907 (quant-ph) [Submitted on 14 Aug 2026] Title:Robust Quantum Extremal Numbers Authors:Wanchen Zhang, Zicheng Han, Xiande Zhang View a PDF of the paper titled Robust Quantum Extremal Numbers, by Wanchen Zhang and 1 other authors View PDF HTML (experimental) Abstract:Absolutely maximally entangled states require every reduction of at most half of the parties to be maximally mixed, a condition that is both rigid and often impossible for qubit systems. Previous work introduced the quantum extremal number, which maximizes the number of exactly maximally mixed half-body marginals, and determined the exact value Qex(8,4)=56. The present work develops a robust extension of this extremal problem. For a subsystem $A$, the marginal maximal-mixing defect is defined by \[ D_A=2^{|A|}\operatorname{Tr}(\rho_A^2)-1 =2^{|A|}\left\|\rho_A-\frac{I_A}{2^{|A|}}\right\|_2^2, \] and $Q_{\mathrm{ex},\varepsilon}^{D}(n,k)$ is defined as the maximum number of $k$-body marginals satisfying $D_A\leq\varepsilon$ in an $n$-qubit pure state. This counting problem differs from approximate $k$-uniformity, which requires all $k$-body marginals to obey a common error bound. For pure states on $4m$ qubits, the following local stability inequality is established: \[ \sum_{i\in T}D_{T\setminus\{i\}}\geq1 \qquad (|T|=2m+1). \] It follows that, whenever $\varepsilon<1/(2m+1)$, the hypergraph of $\varepsilon$-good $2m$-subsets is $K_{2m+1}^{(2m)}$-free. Combined with the known exact eight-qubit construction, this yields the stability plateau \[ Q_{\mathrm{ex},\varepsilon}^{D}(8,4)=56, \qquad 0\leq\varepsilon<\frac15. \] For odd systems of $2k+1$ qubits, the exact forbidden hypergraph $H_k$ is used to derive explicit finite-error stability radii. In particular, $Q_{\mathrm{ex},\varepsilon}^{D}(9,4)\leq120$ for $0\leq\varepsilon<1/17$. These results turn exact quantum Turán obstructions into quantitative robustness statements and identify intervals on which quantum

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Circuit Depth Compression via Spectral Gap Amplification in Quantum Phase Estimationquantum-computing

Circuit Depth Compression via Spectral Gap Amplification in Quantum Phase Estimation

--> Quantum Physics arXiv:2608.14002 (quant-ph) [Submitted on 14 Aug 2026] Title:Circuit Depth Compression via Spectral Gap Amplification in Quantum Phase Estimation Authors:Sk Mujaffar Hossain, Satadeep Bhattacharjee View a PDF of the paper titled Circuit Depth Compression via Spectral Gap Amplification in Quantum Phase Estimation, by Sk Mujaffar Hossain and 1 other authors View PDF HTML (experimental) Abstract:We show that quantum phase estimation (QPE) circuits can be significantly compressed in depth by preprocessing the input operator with a sigmoid spectral filter before estimation. For systems with small spectral gaps Delta_lambda, standard QPE requires m = ceil(log2(1/Delta_lambda)) precision qubits and depth Theta(2^m). Applying a soft-step transformation f(lambda; tau,w) amplifies the effective gap to Delta_f > Delta_lambda (for w < 1/4), reducing the required precision to m_f = ceil(log2(1/Delta_f)) and compressing circuit depth by 2^(alpha Delta_m), where alpha = 1 for the LMR density-matrix exponentiation framework and alpha is in [0.11,0.42] for controlled-phase-gate circuits. We prove that this compression is exact, bounded above by log2(1/(4w Delta_lambda)) + 1, and impossible for exactly degenerate spectra. We further show that the threshold parameter tau requires only O(w) accuracy, so classical preprocessing such as covariance diagonalisation or CASSCF avoids circularity. A net resource advantage occurs when 4w^2(2^Delta_m - 1) > Delta_lambda log(1/epsilon). Validation on LiH and BeH2 bond-stretch calculations, classical covariance datasets, and synthetic near-degenerate cases demonstrates depth reductions of up to 27x and CX-gate reductions of up to 21x. For LiH, QPE output fidelity improves from 0.66 to 0.98 at a 1% hardware error rate. The method preserves the principal subspace to machine precision, requires no modification of QPE, and can be combined with readout-stage and state-preparation filtering. Negative-control tests establish

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The Company Lab Launches CO.LAB Q Commercialization Studio to Scale Quantum Startupsquantum-computing

The Company Lab Launches CO.LAB Q Commercialization Studio to Scale Quantum Startups

The Company Lab Launches CO.LAB Q Commercialization Studio to Scale Quantum Startups Chattanooga-based startup accelerator The Company Lab (CO.LAB) has launched CO.LAB Q, a 12-month quantum commercialization studio designed to translate early-stage quantum research into market-ready companies. Set to begin its inaugural cohort in November 2026, the program offers individualized commercialization pathways, pilot access, and technical infrastructure across quantum computing, networking, cybersecurity, sensing, and control hardware. [ CO.LAB Q Commercialization Studio Architecture ] │ ┌────────────────────────────────────────┼────────────────────────────────────────┐ ▼ ▼ ▼ Founding Technology & Utility Partners Academic & Defense Partners Quantum Infrastructure Access • Quantinuum (Founding Compute Partner). • UTC (Founding Academic Partner). • EPB Quantum Network. • Middle Tennessee Electric (Utility). • Davidson Technologies (Defense). • Oak Ridge National Laboratory (ORNL). • EPB Quantum (Network Partner). • Defense Pilot & SBIR/STTR Pathways. • UTC Quantum Center Facilities. The studio provides customized, milestone-driven support structured around foundational ecosystem partnerships: Quantum Computing & Cloud Access: As Founding Compute Partner, Quantinuum provides participating startups with direct access to its trapped-ion quantum processors, the Nexus cloud platform, the Guppy programming language, and technical simulation tools. Defense & National Security Track: Founding Defense Track Sponsor Davidson Technologies mentors startups on Department of Defense (DoD) mission needs, offering access to its quantum laboratory, cybersecurity frameworks, and pilot pathways through DIU and SBIR/STTR programs. Academic & Facility Integration: Founding Academic Partner University of Tennessee at Chattanooga (UTC) connects startups with quantum faculty, student researchers, and specialized laboratory facilities. Grid & Utility Testing: Founding U

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Brazilian Researchers Demonstrate Universal Single-Qubit Gates with One Pulsequantum-computing

Brazilian Researchers Demonstrate Universal Single-Qubit Gates with One Pulse

Researchers at Universidade Federal de São Carlos (UFSCar) have demonstrated a new method for constructing any single-qubit quantum gate using a simplification: a single electromagnetic pulse. Building high fidelity quantum gates is a fundamental task for quantum computing. In the case of single-qubit gates, constructing arbitrary gates with a sequence of pulses is in principle straightforward, as demonstrated by Kok et al. and Häffner et al. The team obtained this result by inverting the equation of motion for the evolution operator, a standard method for obtaining the formula. This approach relies only on the rotating-wave-approximation, the only approximation involved, potentially streamlining implementation. Single-Qubit Gate Generation with Linearly-Polarized Fields A single, carefully shaped pulse of light can now enact any single-qubit quantum gate, a feat previously requiring complex sequences of multiple pulses. This advancement does not offer a pathway to simplify hardware and boost operational fidelity. This isn’t merely finding a solution; it’s a determination of the gate creation process, offering a level of analytical control previously elusive. Unlike many existing methods that rely on numerical optimization, this technique yields closed, analytical formulas for the control pulses, making them more readily implementable in physical systems. The control field itself is generated using a relatively simple electromagnetic waveform. The researchers specify that any desired one-qubit gate corresponding to a special unitary matrix can be generated by this single, shaped pulse. This contrasts with earlier methods, such as those detailed by Kok et al. (2007); Häffner et al. (2008); Saffman (2016); Lucero et al. (2008), who used pulse sequences to achieve similar results. The process involves defining two functions, a(t) and b(t), which dictate the pulse’s amplitude and phase, and then solving an integral equation to determine the precise waveform. The paper e

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Quantinuum and Quanta Computer Partner to Industrialize Fault-Tolerant Trapped-Ion Hardware Manufacturingquantum-computing

Quantinuum and Quanta Computer Partner to Industrialize Fault-Tolerant Trapped-Ion Hardware Manufacturing

Quanta Computer and Quantinuum Partner to Industrialize Fault-Tolerant Trapped-Ion Hardware Manufacturing Trapped-ion quantum computing developer Quantinuum (NASDAQ: QNT) and Fortune Global 500 electronics manufacturer Quanta Computer have signed a collaborative development agreement to industrialize the hardware infrastructure, systems engineering, and mass-manufacturing supply chains for future generations of Quantinuum’s quantum computers. The partnership bridges Quantinuum’s trapped-ion Quantum Charge-Coupled Device (QCCD) architecture with Quanta’s global electronics manufacturing and cloud-server infrastructure expertise. Joint engineering teams are actively designing modular, manufacturable hardware subsystems intended to transition quantum hardware from custom-built, laboratory-assembled systems to standardized, mass-producible enterprise IT hardware. [ Quantinuum & Quanta Hardware Industrialization Pipeline ] │ ┌────────────────────────────────────────┴────────────────────────────────────────┐ ▼ ▼ Quantinuum Trapped-Ion Architecture Quanta Global Industrial Infrastructure • QCCD Junction & Barium-Ion Control Roadmaps. • Scalable High-Precision Hardware Assembly. • Sub-System Miniaturization & Modularization. • Enterprise Cloud-Rack Form Factor Standardization. • Commercial Fault-Tolerant QPU Milestones. • Global Electronics Supply Chain Integration. The collaboration focuses on scaling physical hardware assembly to support Quantinuum’s roadmap toward fault-tolerant, megaquop-class systems: Hardware Modularization: Co-engineering standardized, rack-mountable enclosures, environmental packaging, and high-density interface interconnects for trapped-ion systems. Supply Chain Stabilization: Establishing robust, high-volume component procurement pipelines for sub-system electronics, laser/optical assemblies, and RF control hardware. Scalable Production Systems: Transitioning from low-volume custom assembly to automated manufacturing lines capable of d

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Quantinuum to Partner with the Singapore Institute of Technology to Help Develop Singapore’s Future Quantum Workforce.quantum-computing

Quantinuum to Partner with the Singapore Institute of Technology to Help Develop Singapore’s Future Quantum Workforce.

Quantinuum to Partner with the Singapore Institute of Technology to Help Develop Singapore’s Future Quantum Workforce. Quantinuum has signed a Memorandum of Understanding (MoU) with the Singapore Institute of Technology (SIT) to train and expand Singapore’s quantum workforce. Building on Quantinuum’s existing R&D footprint and the planned deployment of its Helios quantum processor in Singapore, the collaboration aims to prepare an industry-ready workforce across engineering, systems development, and applied technologies. Key Initiatives of the Partnership Practical Curriculum: Joint development of hands-on training modules tailored for both undergraduate students and working professionals. Tool Access: Direct access to Quantinuum’s suite of quantum software, development tools, and simulators for educational use. Community Engagement: Hosting regular workshops, seminars, and campus events to build local interest and technical literacy in quantum computing. This strategic alignment addresses the growing commercial demand for skilled talent, ensuring local developers and engineers gain direct exposure to state-of-the-art quantum hardware and software environments. Additional information can be found in a LinkedIn post here. August 15, 2026 dougfinke2026-08-15T20:43:39-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Quantum Zeitgeist Weekly Digestquantum-computing

Quantum Zeitgeist Weekly Digest

Welcome to this week’s quantum technology digest. The articles below cover advances across the quantum computing stack, from hardware development and error correction to algorithmic improvements and commercial growth. Several companies reported significant progress this week, indicating continued momentum in the field. This week’s updates demonstrate a clear focus on scaling and refinement. Quantinuum features prominently with announcements regarding both hardware manufacturing partnerships and algorithmic efficiency gains. Other companies, including IonQ and Pasqal, are pushing boundaries in error correction and qubit control. Funding news from D-Wave and Infleqtion’s strong revenue growth further illustrate increasing investment and market demand. Overall, this week highlights practical steps toward building more capable and accessible quantum systems. Progress isn’t limited to a single approach; diverse modalities – superconducting, trapped ion, and neutral atom – all saw encouraging developments. The increasing availability of quantum resources on cloud platforms like Oracle also suggests a move toward wider accessibility for researchers and developers. 1. Quanta Computer & Quantinuum Partner to Scale Quantum Computing Hardware Quantinuum and Quanta Computer are collaborating to manufacture infrastructure for large-scale quantum computers. The partnership combines Quantinuum’s quantum technology with Quanta’s manufacturing expertise, shifting focus from research toward deployable systems. This co-development effort aims to improve the modularity and scalability of quantum processors, supporting Quantinuum’s roadmap for fault-tolerant quantum systems. Quanta’s experience in industrializing advanced computing will establish supply chains and manufacturing processes needed for wider quantum access. Read more 2. IBM’s QOBLIB Library Demonstrates Quantum Advantage in Optimization IBM and its partners announced demonstrations of quantum advantage in optimization t

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Reset scheme achieves over 99% fidelity with transmon qubitsquantum-computing

Reset scheme achieves over 99% fidelity with transmon qubits

Researchers at the Department of Microtechnology and Nanoscience, Chalmers University of Technology, Gothenburg, Sweden; Department of Chemistry, Princeton University, Princeton, NJ, USA; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA; and VTT Technical Research Centre of Finland, FI-02044 VTT, Finland have demonstrated a protocol for fixed-frequency transmon qubits, an architecture compatible with the surface code, that simultaneously addresses both qubit reset and leakage reduction. This combined capability is desirable for successful quantum error correction. The authors state that experiments involved a pair of qubits. This work reports a complete cycle of qubit reset, leakage reduction, and coupler reset in 83 nanoseconds, enabling fixed-frequency qubit architectures as potential building blocks for future fault-tolerant quantum computers and offering a means to reduce error correction cycle runtime. Tunable Couplers Enable Fast Qubit Reset and Leakage Reduction Over 99% fidelity in qubit reset and leakage reduction has been demonstrated using a novel protocol with fixed-frequency transmon qubits, a result that directly addresses a critical bottleneck in building practical quantum computers. This approach allows for the swift transfer of unwanted energy from qubits to a readout resonator, where it dissipates into the feedline, effectively resetting the qubit state. The architecture employed is specifically designed for compatibility with the surface code, a leading candidate for fault-tolerant quantum computing, pairing fixed-frequency transmon qubits with these tunable couplers. Unlike many existing reset schemes that require additional hardware or complex control signals, this protocol operates within the constraints of current fixed-frequency qubit technology. The team’s design utilizes the tunable couplers to implement a qubit-coupler (QC) SWAP gate, initially tuning the coupler on resonance with the ancilla qubi

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World’s First Superconducting Quantum Heat Engine Could Help Unlock Massive Quantum Computersquantum-computing

World’s First Superconducting Quantum Heat Engine Could Help Unlock Massive Quantum Computers

A newly developed superconducting quantum heat engine could deepen our understanding of thermodynamics while helping advance technologies needed for quantum computers with very large numbers of qubits.Scientists are getting a clearer picture of how thermodynamics behaves in the quantum world, and that progress could benefit both quantum technology and our understanding of familiar thermodynamic principles. Researchers at Aalto University have now taken an important step by demonstrating the first cyclic quantum heat engine built inside a superconducting circuit.The experiment connects two areas of physics that normally describe very different scales. Quantum mechanics explains the behavior of matter at extremely small scales, even below the size of atoms, while thermodynamics describes how heat and energy behave in much larger systems, from collections of molecules to the universe itself. Bringing the two together raises a fundamental question: what happens to familiar thermodynamic processes when quantum effects such as tunneling, entanglement, and superposition enter the picture?A Heat Engine Built for the Quantum WorldConventional heat engines turn heat into useful work. James Watt's steam engine is one famous example, but the same basic concept remains central to modern transportation and electricity production, powering cars, ships, planes and many power plants.The researchers have now created the world's first superconducting quantum heat engine. The extremely small device combines a transmon qubit, a resonator and a quantum refrigerator.Operating under ultracold quantum conditions, the engine was able to use the tiny amount of available heat to repeatedly produce positive work. Achieving this kind of cyclic operation has been an important objective for researchers working on quantum heat engines. The result provides a proof of concept for superconducting heat engines that could eventually contribute to improved quantum computing technology.The study, led by A

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Global Consortium Launches Quantum Optimization Benchmarking Library (QOBLIB) to Track Path to Quantum Advantagequantum-computing

Global Consortium Launches Quantum Optimization Benchmarking Library (QOBLIB) to Track Path to Quantum Advantage

An international research consortium led by IBM Quantum, Zuse Institute Berlin (ZIB), Technische Universität Berlin, and Purdue University—alongside global academic and industrial partners—has introduced the Quantum Optimization Benchmarking Library (QOBLIB). Published in Nature Computational Science (“The Quantum Optimization Benchmarking Library“), the open-source initiative establishes a standardized, model-independent benchmarking framework to evaluate quantum, classical, and hybrid algorithms across ten NP-hard combinatorial optimization problem classes. [ QOBLIB Model-Independent Benchmarking Stack ] │ ┌────────────────────────────────────────┼────────────────────────────────────────┐ ▼ ▼ ▼ The "Intractable Decathlon" Open-Source Repository & Web Portal Cross-Paradigm Evaluation • 10 Hard Combinatorial Classes. • 1,260+ Curated Problem Instances. • Head-to-Head Solver Tracking. • 20 to 3,000,000+ Variables. • 2,600+ Benchmark Submissions. • Classical MIP/QUBO Baselines. • MIP, ILP, MIQP, & QUBO Formulations. • Live Best-Known Solution Tracking. • Near-Term Quantum Hardware Runs. Structuring the “Intractable Decathlon” QOBLIB addresses a critical gap in quantum optimization: while heuristic algorithms like the Quantum Approximate Optimization Algorithm (QAOA) or quantum annealing lack theoretical performance guarantees, empirical advantage claims require rigorous comparisons against state-of-the-art classical solvers. The library curates 1,264 specific instances spanning ten problem classes that become computationally hard for classical solvers at scales ranging from tens to tens of thousands of decision variables: Market Split (Multidimensional Subset Sum): Hard binary integer linear programming (ILP) instances with dense constraint matrices (20–140 variables). Low-Autocorrelation Binary Sequences (LABS): A canonical spin-glass benchmark with applications in radar and signal processing (2–100 variables). Minimum Birkhoff Decomposition: Doubly stochasti

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Hirata & Tsukada Build Language for Quantum-Controlled Channelsquantum-computing

Hirata & Tsukada Build Language for Quantum-Controlled Channels

A new theoretical study proposes a quantum programming language capable of expressing one of quantum information science’s most powerful control mechanisms: the quantum SWITCH. Kengo Hirata of Kyoto University and Takeshi Tsukada of Chiba University have developed a programming framework that overcomes a fundamental obstacle in controlling quantum programs with qubits. By introducing a novel linear type system, the researchers show that quantum programs involving general quantum channels can be described in a mathematically consistent way while naturally supporting the quantum SWITCH. Quantum computers derive their power from the ability of quantum data to exist in superposition, allowing a qubit to represent multiple states simultaneously. This naturally raises a deeper question: if quantum data can exist in superposition, can entire quantum programs also be placed into superposition? The quantum SWITCH, which allows the order of two quantum operations to depend on a quantum control state, has emerged as one of the best-known examples of quantum-controlled computation and has attracted considerable attention in quantum information theory. A common method for controlling quantum programs is through controlled operations. In this approach, a control qubit determines whether an operation F is applied when the qubit is in the state |1⟩ or whether the identity operation is performed when the qubit is in the state |0⟩. While this construction works well for unitary operations, Hirata and Tsukada show that it is not well-defined for general quantum channels, which include measurements, noise, and other non-unitary processes that occur in realistic quantum systems. The researchers identify the source of this limitation as the way quantum conditional branching handles measurements. Specifically, the measurements performed in the then and else branches of a conditional statement may not correspond to one another, preventing the overall program from representing a valid quant

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Canada, G7 & Nordic nations seek quantum research projectsquantum-computing

Canada, G7 & Nordic nations seek quantum research projects

Researchers face a deadline of September 24, 2026, at 1:00am UK time to submit proposals for international quantum research projects. Canada, G7 nations, and Nordic countries are collaborating to fund university-based research, seeking to build partnerships and advance quantum innovation, the company says. This funding opportunity supports non-confidential work, even with potential dual-use applications, and encourages exploration of how quantum technologies can enhance privacy and security. Projects must focus on areas like quantum algorithms, encryption, and communications, or integrate these with natural sciences and engineering. G7-Nordic Collaboration Funds Quantum Science and Technologies The funding call, issued jointly by Canada, G7 nations, and Nordic countries, specifically targets university-based projects focused on advancing quantum algorithms, encryption, and communications technologies. Proposals integrating these areas with natural sciences and engineering are also welcomed, provided they address at least one core quantum theme. The collaborative effort explicitly supports research involving potential dual-use applications while maintaining a requirement for non-confidential, unclassified work, signaling an interest in technologies with both civilian and national security implications. Funding aims to improve national resilience and security through quantum technologies, as well as enable new scientific discoveries and industrial applications. The program utilizes a single-stage proposal model, streamlining the application process for international teams seeking to build partnerships in quantum science. Source: https://www.euroquic.org/canada-g7-nordic-call-for-proposals-on-quantum-technologies/ Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Ivy Delaney Ivy Delaney has been working with neural networks and machine learning since the mid-nineti

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