Quantum Software Development: Qiskit, Cirq & Quantum Programming
Quantum programming news: Qiskit, Cirq, quantum SDKs, compilers. Quantum software stack & hybrid quantum-classical development.
Quantum software development bridges abstract quantum algorithms with physical hardware execution, requiring specialized programming frameworks, compilers, and hybrid classical-quantum orchestration.
Major programming frameworks include Qiskit (IBM) with 500,000+ users including substantial Indian participation; Cirq (Google); and PennyLane (Xanadu) for differentiable quantum programming.
India's Quantum Software Development Landscape
India's software development capabilities feature prominently in NQM plans. Tata Consultancy Services (TCS) partners with IBM to develop cloud-based interfaces and quantum algorithms. The DRDO-TIFR-TCS collaboration developed the cloud interface for India's 6-qubit superconducting quantum processor.
The NQM Thematic Hub at IISc Bengaluru develops quantum software including compilers, control electronics, and algorithm libraries. The Centre for Development of Advanced Computing (C-DAC) integrates quantum computing with India's high-performance computing infrastructure.
Educational institutions including IISc Bengaluru, IIT Delhi, and IIT Bombay offer quantum computing courses and certifications. The IISc Centre for Continuing Education provides a Certificate Programme in Quantum Computing and Artificial Intelligence with hands-on training in Qiskit and PennyLane.
quantum-computingOptimal Quantum Differential Privacy via Fisher Information Spectral Analysis
--> Quantum Physics arXiv:2605.24166 (quant-ph) [Submitted on 22 May 2026] Title:Optimal Quantum Differential Privacy via Fisher Information Spectral Analysis Authors:Justice Owusu Agyemang, Jerry John Kponyo, Elliot Amponsah, Godfred Manu Addo Boakye View a PDF of the paper titled Optimal Quantum Differential Privacy via Fisher Information Spectral Analysis, by Justice Owusu Agyemang and 3 other authors View PDF HTML (experimental) Abstract:The Quantum Fisher Information (QFI) metric governs a fundamental duality: it quantifies both how precisely a parameter can be estimated (metrology) and how distinguishable two quantum states are (privacy). We exploit this duality to establish a geometry-aware framework for quantum differential privacy (DP) that replaces isotropic depolarizing noise with direction-dependent noise aligned to the QFI eigenstructure of the quantum embedding. We prove six principal theorems: (1) the minimax-optimal mechanism concentrates the noise budget in the dominant QFI eigenmode, achieving $\varepsilon = (\Delta^2/2)\lambda_{\max}(1-c\gamma)$ with $O(d/\lambda_{\max})$ advantage; (2) mixed-state QFI decomposition reveals that dephasing in the adversary's basis $\textit{increases}$ accessible information, while misaligned-basis dephasing provides constructive privacy amplification from hardware noise; (3) a tight privacy $-$ utility uncertainty relation $\varepsilon \cdot (1 - F) \ge \frac{\Delta^2}{2}\frac{\operatorname{Tr}(F)}{d}$; (4) adaptive QFI estimation converging at $O(1/\sqrt{n})$ yields $1.92\times$ tighter bounds; (5) QFI-aligned composition saturates at $O(1)$ versus $O(k)$ for standard composition; and (6) hardware noise can be harnessed for privacy amplification. Adversarial vulnerabilities, Wasserstein guarantees, subspace projection, and a zero-knowledge audit protocol follow as corollaries. Results are validated on Qiskit Aer GPU simulations, IBM Quantum hardware (ibm_fez, 156 qubits), and against classical DP baselines, achiev
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quantum-computingSample-efficient benchmarking of shallow all-to-all random quantum circuits
--> Quantum Physics arXiv:2605.22909 (quant-ph) [Submitted on 21 May 2026] Title:Sample-efficient benchmarking of shallow all-to-all random quantum circuits Authors:Gregory Bentsen, Bill Fefferman, Soumik Ghosh, Michael J. Gullans, Yinchen Liu View a PDF of the paper titled Sample-efficient benchmarking of shallow all-to-all random quantum circuits, by Gregory Bentsen and Bill Fefferman and Soumik Ghosh and Michael J. Gullans and Yinchen Liu View PDF HTML (experimental) Abstract:Random circuit sampling (RCS) remains one of the most competitive frameworks for demonstrating quantum advantage in near-term noisy intermediate-scale quantum (NISQ) hardware. Unfortunately, absent error-correction, existing benchmarks to characterize these experiments, like linear cross-entropy, have been classically spoofed due to noise. Because of this, there are interesting regimes, like shallow-depth random quantum circuits, where sampling is plausibly classically intractable, but no existing benchmark can distinguish between a noisy quantum computer and an adversarial classical spoofer. In this paper, we demonstrate that the nonlinear cross-entropy provides a sample-efficient benchmark for shallow-depth all-to-all random quantum circuits whose score cleanly separates noisy quantum computers from state-of-the-art classical spoofers, even in the presence of depolarizing noise. Further, we develop a binary classifier based on the notion of heavy output generation that features logarithmic sample complexity at short depth. Our evidence comes from exact analytic expressions for all-to-all Brownian circuit ensembles derived using replica tricks, and numerical simulations that corroborate these results for discrete Haar-random unitary circuits. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.22909 [quant-ph] (or arXiv:2605.22909v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.22909 Focus to learn more arXiv-issued DOI via DataCite Submission
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quantum-computingEstimating Green's functions with a robust quantum Arnoldi method
--> Quantum Physics arXiv:2605.22920 (quant-ph) [Submitted on 21 May 2026] Title:Estimating Green's functions with a robust quantum Arnoldi method Authors:Jacob S. Nelson, Andrew B. Baczewski View a PDF of the paper titled Estimating Green's functions with a robust quantum Arnoldi method, by Jacob S. Nelson and Andrew B. Baczewski View PDF HTML (experimental) Abstract:Many applications of Green's functions (GFs) require their evaluation over intervals or at multiple points, motivating quantum algorithms that return an efficiently computable functional representation rather than mere point estimates. We introduce a robust quantum Arnoldi method (ROQAM) that achieves this goal. Its robustness is derived from formulation in terms of orthogonal polynomials, which preserves the upper-Hessenberg structure of the projected matrices despite finite-precision estimation. We also show that as the iteration depth increases, the precision required for matrix-element estimation can be reduced. Resource estimates for the spectral function of a quantum impurity model indicate that ROQAM outperforms pointwise estimation via quantum singular value transformation by multiple orders of magnitude. Finally, we show that the ROQAM can be used to estimate GFs at nonzero temperatures using only a single Krylov subspace. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.22920 [quant-ph] (or arXiv:2605.22920v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.22920 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jacob Nelson [view email] [v1] Thu, 21 May 2026 18:00:41 UTC (1,108 KB) Full-text links: Access Paper: View a PDF of the paper titled Estimating Green's functions with a robust quantum Arnoldi method, by Jacob S. Nelson and Andrew B. BaczewskiView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2026-05 Referen
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quantum-computingClassical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
--> Quantum Physics arXiv:2605.23138 (quant-ph) [Submitted on 22 May 2026] Title:Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning Authors:Gino Kwun, Dhanvi Bharadwaj, Gokul Subramanian Ravi View a PDF of the paper titled Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning, by Gino Kwun and 2 other authors View PDF HTML (experimental) Abstract:Variational Quantum Algorithms (VQAs) potentially offer a pathway to practical quantum advantage, but their optimization is heavily hindered by barren plateaus and numerous local minima. While classically simulable Clifford circuits can warm-start VQAs to accelerate convergence, existing heuristic-based initialization methods struggle to scale within vast combinatorial search spaces. To overcome this bottleneck, we propose CRiSP (a Clifford Reinforcement Learning agent for State Preparation), a framework that formulates discrete prefix selection as a sequential decision-making problem. CRiSP utilizes Neural-Guided Monte Carlo Tree Search, driven by a Transformer-based policy trained via self-play, to insert learned Clifford gates before fixed parameterized rotations. This enables the construction of high-quality initial states entirely through polynomial-time classical stabilizer simulation without altering the underlying circuit architecture. By integrating a curriculum learning strategy that progressively expands the search horizon, the agent efficiently scales to deep circuits. Evaluated on QAOA benchmarks of up to $22$ qubits and $1{,}370$ parameters, CRiSP outperforms state-of-the-art Clifford initialization methods by a mean of $3.17\times$ (max $45.02\times$) in average energy accuracy and $2.44\times$ (max $16.01\times$) in best-achieved energy accuracy. Assessments on VQE tasks further demonstrate the framework's robustness and generalizability. Comments: Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Emerging Technol
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quantum-computingA General Quantum Speed Limit for Non-Hermitian Systems
--> Quantum Physics arXiv:2605.23250 (quant-ph) [Submitted on 22 May 2026] Title:A General Quantum Speed Limit for Non-Hermitian Systems Authors:Zhanxi Wang, Xiaozhe Hao, X. X. Yi View a PDF of the paper titled A General Quantum Speed Limit for Non-Hermitian Systems, by Zhanxi Wang and 2 other authors View PDF HTML (experimental) Abstract:The quantum speed limit (QSL) refers to the maximum speed of a quantum system to evolve from an initial state to its orthogonal states. The bound on the QSL for Hermitian systems, for example the Mandelstam-Tamm (MT) and Margolus-Levitin (ML) as well as Sun-Zheng(SZ) bound, was studied respectively from the perspectives of average value and variance of the system Hamiltonian as well as the geometry of the system. While the compactness of the MT-type, ML-type and SZ-type bounds has been examined well for Hermitian systems, a compact QSL for non-Hermitian systems has not been well studied. In this work, based on the biorthogonal basis theory we derive two distinct and tighter bounds on the QSL for non-Hermitian systems, which correspond to the MT and ML bounds for Hermitian systems. We show that the shortest evolution time corresponding to the two bounds of the non-Hermitian system can be attained by certain initial states, showing the compactness and tightness of our bounds. These initial states dubbed fastest initial states(FIS) are different from that in Hermitian systems. A bound close to QSL for non-FIS is presented and comparison of our bound with others in literature is performed. To illustrate our results, we present a minimal non-Hermitian system to show QSL, and the condition for the shortest evolution time is derived analytically using the present theory. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.23250 [quant-ph] (or arXiv:2605.23250v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.23250 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submiss
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quantum-computingQuantum Computing Stocks Short Interest Jumps Amid Valuation Concerns - Benzinga
Quantum Computing Stocks Short Interest Jumps Amid Valuation Concerns Benzinga
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quantum-computingIs anyone working on QRAM?
QRAM sure would solve a lot problems for quantum algorithms. Yet I don’t know of anyone working on it. Is anyone working on it? submitted by /u/SurinamPam [link] [comments]
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quantum-computingQuantum Computing Company IonQ Is A Buy (Technical Analysis)
Walter Zelezniak Jr5.2K FollowersFollow5ShareSavePlay(11min)Comments(2)SummaryIonQ, Inc. demonstrates bullish technicals with strong price action, momentum, volume, and relative strength since summer 2024.IONQ reported Q1 2026 revenues of $64.67M, an 8x YoY increase, and raised full-year guidance to $270M, despite negative EPS and poor profitability.Technical indicators—30-week EMA, PPO momentum, and institutional volume—signal continued accumulation and outperformance versus the S&P 500.I am buying IONQ, using a stop-loss strategy below the 30-week EMA to manage downside risk amid ongoing unprofitability. spawns/iStock via Getty Images In this article will outline my bullish thesis for the quantum computing company IonQ, Inc. (IONQ). I will briefly discuss quantum computing, IONQ’s recent earnings report, and its valuation grade. Then I will outline my bullishThis article was written byWalter Zelezniak Jr5.2K FollowersFollowAs an individual investor nearing retirement I am trying to build my financial assets in order to have a fulfilling retirement. I am interested in trading both long and short; or at least using inverse ETFs, to take advantage of market declines. Having long term and short term trading strategies, proper execution of my trading plan, and absolute investing results are my goals. I see my articles as a way to keep me focused on developing winning trades. I also expect to learn much from the feedback that is provided in the comments section.Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, but may initiate a beneficial Long position through a purchase of the stock, or the purchase of call options or similar derivatives in IONQ over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking A
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quantum-computingOnline Short Course on “Free-Space Quantum Communication”
Online Short Course on “Free-Space Quantum Communication” Dates: Monday, July 27, 2026 to Friday, July 31, 2026Web page: https://www.prl.res.in/prl-eng/uncssteapRegistration deadline: Saturday, May 23, 2026Submission deadline: Saturday, May 23, 2026Applications are invited for a short course on “Free-Space Quantum Communication” (July 27-31, 2026) to be conducted Online by Physical Research Laboratory (PRL), Ahmedabad under the auspices of the Center for Space Science and Technology Education in Asia and the Pacific (CSSTEAP), affiliated to the United Nations. Application deadline June 30, 2026 Log in or register to post comments
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quantum-computingEPB and University of Tennessee at Chattanooga Launch $6.8 Million Quantum Workforce Initiative
EPB and University of Tennessee at Chattanooga Launch $6.8 Million Quantum Workforce Initiative The Board of Directors for EPB has approved a formal resolution establishing a $6.8 million USD joint funding partnership with the University of Tennessee at Chattanooga (UTC). The matching investment allocates $850,000 annually from each institution over a four-year operational term. The programmatic mandate expands regional academic infrastructure, funds applied research tracks, and builds commercialization pathways for emerging quantum hardware and software protocols. The initiative leverages Chattanooga’s existing municipal infrastructure, centering its operational workflows around the EPB Quantum Center. Technical Architecture & Specifications / Operational Implementation The technical framework builds directly upon the regional fiber-optic distribution grid, expanding academic access to the EPB Quantum Network. Launched commercially in 2023, the software-managed network provides programmable channels for quantum key distribution (QKD) and quantum networking experimentation, with UTC operating an active, on-campus network node. The newly expanded funding expands this physical testbed to integrate upcoming EPB Quantum Computing cloud-service resources slated for rollout later in 2026. The capital injection funds active research programs across four core technical disciplines: quantum algorithm design, quantum machine learning (QML) data models, multi-node quantum networking protocols, and nitrogen-vacancy or atom-based quantum sensing systems. Strategic Positioning & Ecosystem Integration The strategic investment aims to capture localized economic value from the commercialization of frontier technologies, aligning with long-term regional macro-projections. According to data from the McKinsey Quantum Technology Monitor 2026, the commercial scaling of quantum computing use cases is projected to generate up to $2.7 trillion in global economic value by 2035. On a
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quantum-computingWhy Rigetti Computing Stock Keeps Going Up
Yesterday, as you've probably heard, The Wall Street Journal reported on a Trump Administration plan to award $2 billion to nine quantum computing companies -- Rigetti Computing (RGTI +20.87%) among them -- and to take government equity stakes in the companies in return. Rigetti shares started moving one day before the announcement was made, then rocketed higher yesterday -- and higher again today. Up 18% through 10:55 a.m. Friday morning, Rigetti shares have gained an astounding 63% in just three days of trading, and investors are wondering: Is any price too high to pay for this quantum computing stock? Image source: Getty Images. And now it's official Shortly after WSJ broke the story, the U.S. Department of Commerce confirmed that not only does it plan to award grants, but it has in fact already signed letters of intent to do so. Operating under the CHIPS and Science Act, Commerce will "support and accelerate critical research and manufacturing of technologies for the quantum ecosystem to ensure continued United States leadership and national security." Two quantum foundries, Globalfoundries (GFS +7.54%) and International Business Machines (IBM +1.56%), will receive $375 million and $1 billion, respectively. Rigetti and five others will receive $100 million apiece, and the ninth company will receive $38 million. Each of the seven non-foundry recipients will focus on specific technologies needed to build quantum computers. Rigetti in particular will focus on miniaturization and cryostat devices for maintaining extremely low temperatures. ExpandNASDAQ: RGTIRigetti ComputingToday's Change(20.87%) $4.60Current Price$26.64Key Data PointsMarket Cap$7.3BDay's Range$22.67 - $26.7252wk Range$10.30 - $58.15Volume3.6MAvg Vol30.6MGross Margin-5945.49% What does this mean for Rigetti stock? The question now is how much good even this money can do for Rigetti, which is burning more than $80 million a year. Even if Rigetti gets all of the "up to $100 million" it's allotted, thi
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quantum-computingQROM Copying Mechanism Halves Quantum Data Loading Costs
Xanadu Quantum Technologies has achieved a reduction in the operational costs of quantum computing through a breakthrough in Quantum Read-Only Memory (QROM) technology. The company’s new implementation approximately halves the number of expensive Toffoli gates required within QROM modules, a critical advancement for problem sizes constrained by qubit availability. This addresses a longstanding bottleneck in loading classical data onto quantum computers; QROM performance had remained stagnant for seven years prior to this innovation. Xanadu achieves these optimizations by replacing traditional qubit “swapping” with a “copying” mechanism, and streamlining data unloading processes. “Our team focuses on making quantum computing practical for real-world use,” said Dr. Christian Weedbrook, Xanadu Founder and Chief Executive Officer. “By halving QROM costs, we are using quantum algorithm developments to reduce the cost of quantum computation for many applications.” QROM Optimization Halves Toffoli Gate Count Seven years of stagnant Quantum Read-Only Memory (QROM) performance have been overcome by Xanadu Quantum Technologies with a new algorithmic breakthrough that is expected to significantly reduce the operational cost of quantum applications. Efficiently loading classical data onto quantum computers has long presented a challenge, limiting the potential of near-term, utility-scale fault-tolerant systems. Xanadu’s implementation is expected to approximately halve the number of expensive quantum operations required for QROM, a reduction that promises to unlock more complex computations on existing hardware. The core of this optimization lies in a novel approach to reducing Toffoli gates, among the most computationally intensive operations a quantum computer performs, within QROM modules. The team also streamlined the process of unloading data from QROM, consolidating multiple redundant steps into a single, efficient operation. This combined approach allows quantum programs
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quantum-computingQuantum Algorithms Now Solve Complex Industrial Problems with Fewer Qubits
Scientists at West Virginia University and Cornell University have introduced a novel quantum reinforcement learning framework to address the significant computational challenges inherent in process synthesis, a crucial aspect of chemical engineering. Austin Braniff and colleagues, spanning the Department of Chemical and Biomedical Engineering at West Virginia University and the R.F. Smith School of Chemical and Biomolecular Engineering at Cornell University, have engineered a system that demonstrably improves scalability and overcomes previous limitations related to qubit requirements in the design of complex chemical processes. This framework not only provides a robust methodology for tackling these intricate problems but also establishes a valuable benchmark for rigorously comparing the performance of classical and quantum algorithms. This paves the way for future quantum applications within the broader field of process systems engineering Quantum algorithms enhance process synthesis optimisation efficiency and scalability Quantum reinforcement learning algorithms achieved a 1.2x improvement in efficiency on a per-parameter basis when compared to established classical reinforcement learning benchmarks for moderate-scale process synthesis problems. This enhancement stems from a critical decoupling of qubit requirements from the size of the problem being addressed. Traditionally, the computational burden of process synthesis escalates rapidly with increasing complexity, often rendering large-scale designs intractable. By reducing the dependence on qubit numbers, the fundamental units of quantum information, this new framework unlocks the potential to tackle more complex flowsheet designs than previously possible. The core innovation lies in the development of novel state encoding algorithms which efficiently represent the process design space within the quantum system, minimising the number of qubits needed for simulation. This circumvents the limitations imposed b
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quantum-computingBalancing Quasi-Bragg Regime and Velocity Selectivity in Quantum-Enhanced Atom Interferometry
--> Quantum Physics arXiv:2605.21643 (quant-ph) [Submitted on 20 May 2026] Title:Balancing Quasi-Bragg Regime and Velocity Selectivity in Quantum-Enhanced Atom Interferometry Authors:Christian Miguel Karres (1 and 2), Daniel Derr (1), Enno Giese (1) ((1) Technical University of Darmstadt, (2) Johannes Gutenberg University Mainz) View a PDF of the paper titled Balancing Quasi-Bragg Regime and Velocity Selectivity in Quantum-Enhanced Atom Interferometry, by Christian Miguel Karres (1 and 2) and 2 other authors View PDF HTML (experimental) Abstract:Spin squeezing in atomic ensembles enables atom interferometry with sensitivities below the shot-noise limit, but the associated entanglement is highly susceptible to loss, making imperfections in atom optics a central limitation. Bragg diffraction is an established technique for driving transitions between atomic momentum states and enables large-momentum transfer through higher-order diffraction while preserving the internal state. However, it is intrinsically limited by two competing mechanisms: short light pulses induce parasitic diffraction into off-resonant orders beyond an effective two-level description, while long pulses face velocity selectivity. We derive analytical expressions in a second-quantized framework for the atom optics and phase uncertainty of a Mach-Zehnder interferometer including these effects. We demonstrate that sub-shot-noise scaling is achieved only in a regime of intermediate pulse duration. Furthermore, we show that deleterious effects of higher-order diffraction are partially mitigated by optimizing the input quantum state. Comments: Subjects: Quantum Physics (quant-ph); Atomic Physics (physics.atom-ph) Cite as: arXiv:2605.21643 [quant-ph] (or arXiv:2605.21643v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.21643 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Christian Karres [view email] [v1] Wed, 20 May 2026 1
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quantum-computingConcatenating Algebraic Codes over High-Rate Quantum LDPC Codes
--> Quantum Physics arXiv:2605.21898 (quant-ph) [Submitted on 21 May 2026] Title:Concatenating Algebraic Codes over High-Rate Quantum LDPC Codes Authors:Adam Wills, Michael E. Beverland, Lev S. Bishop, Jay M. Gambetta, Patrick Rall, Vikesh Siddhu, Andrew W. Cross View a PDF of the paper titled Concatenating Algebraic Codes over High-Rate Quantum LDPC Codes, by Adam Wills and 6 other authors View PDF Abstract:Different quantum error correction schemes trade off overhead, error suppression, and hardware connectivity. Code concatenation can relax these tradeoffs by using an outer code whose non-local connectivity is supplied by logical operations of an inner code rather than directly by hardware. Prior works showed that this can reduce memory overhead for local low-rate inner codes such as the surface code. Here, we study concatenation over non-local, high-rate inner codes. Such inner codes experience correlated errors among the many logical qubits in a single codeblock. We handle this by treating each block as a single logical Galois qudit, enabling concatenation with algebraic outer codes with excellent parameters and, crucially, list decoders. In particular, we consider a memory system formed by concatenating quantum Reed-Solomon outer codes over the gross code. For fault-tolerant syndrome extraction, we develop a Galois qudit Shor scheme using "time-like" Reed-Solomon protection against measurement errors. Interestingly, a lightweight fault tolerance scheme, that would fail for qubits, works well for large-alphabet qudits, suggesting a very different theory of fault tolerance for such qudits. The whole protocol is optimised via improved bicycle instruction logical error rates, novel compilation strategies, and recent decoder post-selection rules. At uniform $10^{-3}$ physical noise, the concatenated gross code reaches the teraquop regime, which it previously could not access, with a lower space overhead than the $288$-qubit two-gross code, while offering several ad
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quantum-computingGlobalFoundries Launches Specialized Business Unit to Expand Onshore Quantum Hardware Manufacturing
GlobalFoundries Launches Specialized Business Unit to Expand Onshore Quantum Hardware Manufacturing GlobalFoundries (GF) has established a new business division, Quantum Technology Solutions, to scale commercial fabrication capabilities for the quantum computing industry. The unit enters the market with active customer engagements and a pipeline of quantum hardware developers preparing to scale production. In conjunction with this launch, the U.S. Department of Commerce signed a letter of intent to provide $375 million in federal funding under the CHIPS and Science Act to accelerate the build-out of these domestic manufacturing lines. Additionally, under a separate agreement to distribute these funds, the U.S. Department of Commerce will acquire a strategic minority equity investment in GF representing approximately one percent ownership of the corporation. Technical Architecture & Specifications / Operational Implementation The manufacturing framework leverages GF’s existing FDX platform to deliver proprietary cryogenic complementary metal-oxide-semiconductor (CMOS) technology. These cryogenic CMOS circuits provide the specialized sensing, low-temperature readout, and control integrated circuits (ICs) required to operate quantum systems without thermal degradation. Building upon this baseline, Quantum Technology Solutions is engineering standardized fabrication lines to construct Quantum Processor Units (QPUs) across multiple hardware modalities, including superconducting, trapped-ion, silicon photonic, topological, and silicon spin-qubit architectures. The industrial infrastructure also incorporates advanced three-dimensional (3D) heterogeneous packaging and superconducting interconnect platforms to physically bind the micro-architectures into unified, data-center-ready computing blocks. Strategic Positioning & Ecosystem Integration The division establishes an industrial fabrication layer within a trusted domestic semiconductor ecosystem, addressing nation
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quantum-computingQuantinuum and bp Expand Collaboration Targeting Quantum-Accelerated Seismic Imaging
Quantinuum and bp Expand Collaboration Targeting Quantum-Accelerated Seismic Imaging Quantinuum has entered into a scaled technical project with multinational integrated energy firm bp to develop quantum-hybrid algorithms for subsurface seismic imaging. The project transitions from a successful feasibility pilot into a production-oriented scaling phase designed to model more complex geophysical wave physics properties. The industrial application targets computational bottlenecks in classical high-performance computing (HPC) environments, where the memory requirements and infrastructure overhead needed to simulate acoustic and elastic wave equations scale exponentially with the spatial resolution of the geographical grid. Technical Architecture & Specifications / Operational Implementation The technical roadmap focuses on implementing quantum algorithms that leverage the logarithmic scaling properties of quantum state spaces to bypass classical memory limits. On traditional classical architectures, doubling the spatial resolution of a subsurface grid model can require up to a twofold increase in physical hardware and memory allocation. Conversely, because the dimensionality of a quantum state space scales as 2n for n qubits, the resolution can theoretically be expanded exponentially through the addition of individual physical qubits. The project deploys a hybrid quantum-classical workflow where Quantinuum’s trapped-ion hardware—built on the Quantum Charge-Coupled Device (QCCD) architecture—executes the high-dimensional wave propagation subroutines, while classical server clusters handle the primary data logic and boundary condition constraints to keep calculations grounded in real-world geophysical telemetry. Strategic Positioning & Ecosystem Integration The joint development aims to deliver a functional quantum advantage for industrial resource management and global energy infrastructure planning. By optimizing computational efficiency, the platform targets
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quantum-computingQuiX Quantum Introduces PACU, a Photonic Assembly Control Unit For Scalable Quantum Systems
Insider Brief QuiX Quantum introduced PACU, a new Photonic Assembly Control Unit designed to provide a scalable and standardized control layer for its photonic quantum systems and future universal quantum computers. The rack-mountable PACU system supports up to 1,000 low-speed and 32 high-speed phase shifters, with features including sub-2 millisecond response times, Ethernet and USB connectivity, air cooling, overheat protection, and hot-swappable photonic assemblies. The company said PACU is intended to reduce operational complexity and improve modularity, maintenance, and data center integration as photonic quantum systems scale toward broader industrial and commercial applications. PRESS RELEASE — QuiX Quantum today introduced PACU, its new Photonic Assembly Control Unit designed to provide a scalable, standardized control layer for the company’s photonic quantum systems and future universal quantum computers. The unit is designed to host photonic chips with up to 1,000 low-speed and up to 32 high-speed phase shifters, giving QuiX Quantum the control infrastructure needed to operate complex universal photonic architectures and integrate that capability into a compact, rack-mountable system. A universal quantum computer is designed to run a broad set of quantum algorithms rather than being limited to a narrow class of tasks. For quantum hardware companies, universality is an important long-term goal because it points toward general-purpose quantum systems that can support a wider range of scientific, industrial and commercial applications. QuiX Quantum has positioned photonics as the basis for its universal quantum computing roadmap, with systems designed for modularity, data-center compatibility, and integration into hybrid quantum-classical computing environments. “As photonic quantum chips become more capable, the systems around them must scale as well,” said Stefan H
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quantum-computingRecruitment of Post Doctoral Fellows for research project on quantum computing and quantum information/communication.
Recruitment of Post Doctoral Fellows for research project on quantum computing and quantum information/communication. Application deadline: Tuesday, June 30, 2026Employer web page: https://www.tcgcrest.org/institutes/cquere/Job type: PostDocTags: quantum computingquantum informationpostdocThe Centre for Quantum Engineering, Research and Education (CQuERE) is one of the centres at TCG CREST, Kolkata, India. The theoretical areas of research currently being pursued at CQuERE are quantum computation, quantum algorithms, quantum machine learning, quantum information, quantum communication, and quantum cryptography. In addition, there are experimental activities in the areas of quantum sensing and superconducting-qubit-based quantum computing. CQuERE has openings for postdoctoral positions in the areas of theoretical quantum computing, quantum information, and quantum communication, with emphasis on translational research. These positions are for one year and can be extended to a second year depending on the performance of the candidates. The remuneration for this position will be at par with the other research institutes in India. Eligibility: PhD in Physics, Mathematics, Chemistry, Computer Science or Engineering. Eligible candidates can send a cover letter, research plan, curriculum vitae, and two reference letters to cquere.applications@tcgcrest.org with the subject “Application for a post-doctoral position”. Reference letters should be sent directly by the referees. The deadline for the receipt of applications and reference letters is 30th June 2026. Job Requirement: Strong background in theoretical quantum physics and /or quantum chemistry with a background in quantum computing and quantum information/communication. Non Indian citizens are also eligible to apply. No. of posts: 1 or 2 (One or Two) Salary: The remuneration for this position will be at par with the other research institutes in India. Tenure: These positions are for one year and can
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quantum-computingNIST Advances Nine Post-Quantum Signature Algorithms to Third Round
Insider Brief National Institute of Standards and Technology advanced nine digital signature algorithms to the third round of its post-quantum cryptography standardization process as part of a broader effort to prepare cybersecurity systems for future quantum computing threats. The third-round candidates include FAEST, HAWK, MAYO, MQOM, QR-UOV, SDitH, SNOVA, SQIsign and UOV, with the evaluation phase expected to last about two years and allow technical updates from submission teams. NIST launched the additional signature initiative in 2022 to diversify beyond lattice-based cryptography and identify quantum-resistant digital signature schemes with alternative mathematical foundations, shorter signatures and faster verification speeds. The U.S. government is moving to widen the pool of post-quantum cryptography tools as concerns grow that future quantum computers could eventually break parts of today’s encryption systems. The National Institute of Standards and Technology said it has selected nine digital signature algorithms to advance to the third round of its Additional Digital Signatures for the Post-Quantum Cryptography Standardization Process, according to a news release. The move comes after roughly 18 months of evaluation and reflects a broader effort to diversify the mathematical foundations behind future quantum-resistant cybersecurity standards. The nine candidates advancing are FAEST, HAWK, MAYO, MQOM, QR-UOV, SDitH, SNOVA, SQIsign and UOV. According to NIST, the third round is expected to last about two years and will allow submission teams to update technical specifications and software implementations before the agency makes further decisions about standardization. Digital signatures are a core part of modern cybersecurity systems. They are used to verify identities, authenticate software updates, secure financial transactions and confirm that data has not been altered. The concern driving the post-quantum effort is that a sufficiently powerful quantum
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