Quantum Materials & Devices: Hardware Components & Fabrication
Quantum materials news: quantum device fabrication, superconductors, quantum dots, 2D materials. Quantum hardware components & substrates.
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.
quantum-computingQuantum Communication Secured by Choosing Measurement Basis Offers Ultimate Privacy
Scientists have developed a novel protocol for one-way quantum secure direct communication, utilising the choice of measurement basis as the secret key. Santiago Bustamante and Boris A. Rodríguez, both from Universidad de Antioquia, alongside Elizabeth Agudelo of TU Wien, demonstrate a system where information is encoded and decoded through measurements performed in either the computational or Hadamard basis. This research is significant because it establishes information-theoretic security against BB84-symmetric attacks using finite ensembles of entangled pairs and a public channel. Importantly, the protocol requires no local unitary operations by the receiver, making it particularly suitable for practical implementation in network configurations such as star networks. This research addresses the fundamental question of distinguishing ensembles described by identical compressed density operators and introduces a method for encoding and decoding classical information through measurements in either the computational or Hadamard basis. Employing quantum wiretap channel theory, the study rigorously assesses the secure net bit rates and certifies the information-theoretic security of various implementations against BB84-symmetric attacks. A key advantage of this model is the elimination of local unitary operations required by the receiver, making it particularly suitable for practical implementation in star network configurations. The work builds upon the concept of finite ensembles of entangled EPR pairs, each shared between two parties, Alice and Bob, and explores how local measurements influence the transmission of a single bit of information. Researchers define a compressed density operator as the state of an average entity within an ensemble, acknowledging that this operator may not fully capture all information about the ensemble’s preparation. By measuring qubits in either the computational or Hadamard basis, Alice and Bob induce correlated collapses in their res
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quantum-computingQuantum Compilation Speeds up 100x, Bringing Practical Quantum Computers Closer
Researchers are tackling the challenge of efficiently translating complex quantum algorithms into instructions for near-term quantum hardware. Aaron Hoyt from University of Washington and Pacific Northwest National Laboratory, alongside Meng Wang and Fei Hua from Pacific Northwest National Laboratory, et al., present QASMTrans, a novel end-to-end quantum compilation framework designed for just-in-time deployment. This work is significant because QASMTrans achieves over 100x faster compilation speeds than existing tools like Qiskit on certain circuits, while maintaining comparable fidelity and uniquely offering direct integration with hardware control systems via pulse generation. By bridging the gap between logical circuits and physical implementation, and incorporating noise-aware optimisation and circuit space sharing, QASMTrans facilitates the development and execution of real-time adaptive quantum algorithms on current quantum processing units. Rapid Quantum Circuit Transpilation via Pulse-Level Gate Set Optimisation Scientists have unveiled QASMTrans, a high-performance quantum compiler designed to rapidly translate abstract quantum algorithms into device-specific control instructions. This C++-based framework achieves over 100x faster compilation than existing tools like Qiskit for certain circuits, enabling the transpilation of large, complex circuits in a matter of seconds. QASMTrans distinguishes itself by offering complete, end-to-end device-pulse compilation and direct integration with quantum control systems such as QICK, effectively bridging the gap between logical circuits and the underlying hardware. The research focuses on accelerating the process of transpilation, which converts high-level quantum circuits into a format compatible with the limitations of near-term quantum devices. By employing latency-aware Application-tailored Gate Sets at the pulse level, QASMTrans identifies critical sequences within a circuit and generates optimized pulse schedu
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quantum-computingQuantum Entanglement’s ‘no Signalling’ Rule Bends, but Doesn’t Break
Scientists are increasingly scrutinising the no-signalling principle, a cornerstone of Bell inequality and steering experiments, as experimental flaws can mimic violations beyond statistical fluctuations. Lucas Maquedano (Federal University of Paraná), Sophie Egelhaaf (University of Geneva), and Amro Abou-Hachem (Lund University, with et al. including Jef Pauwels and Armin Tavakoli) present extensions to local hidden variable and local hidden state theories, accommodating quantifiable signalling. Their research develops non-classicality tests applicable to these extended models, utilising both complete statistical analysis and corrections to established Bell and steering inequalities. This work is significant because it addresses apparent signalling in realistic scenarios, specifically demonstrating its applicability to data arising from processor imperfections and inefficient detectors. These violations, previously attributed to statistical fluctuations, can arise from subtle systematic effects present in realistic experimental setups. The work introduces extensions to local hidden variable and local hidden state theories, allowing for bounded and quantifiable amounts of signalling between entangled particles. This approach moves beyond simply enforcing no-signalling through data post-processing, instead explicitly relaxing classical models to incorporate a measurable signalling parameter. The study establishes methods for developing non-classicality tests applicable to these extended models, utilising both exact calculations based on complete statistical data and corrections to standard Bell and steering inequalities. These techniques were demonstrated using two scenarios known to exhibit apparent signalling: data obtained from an IBM quantum processor and post-selected data originating from inefficient detectors. By quantifying the permissible signalling, the research provides a means to distinguish genuine quantum non-classicality from artefacts introduced by ex
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quantum-computingQuantum Simulations Take a Leap Forward with Superconducting Circuits
Quantum computing promises to revolutionise several scientific and technological domains through fundamentally new ways of processing information. Laurin E. Fischer, affiliated with the Laboratoire de théorie et simulation des matériaux, Faculté des sciences et techniques de l’ingénieur, University of unspecified location and IBM Quantum, alongside colleagues, demonstrate significant progress in enabling large-scale digital quantum simulations using superconducting qubits. This research is particularly significant because it addresses a critical limitation in current quantum devices, imperfections that hinder practical advantage for complex problems in fields such as condensed matter physics and materials science. By exploring methods across the computational stack, including hardware innovations, noise modelling, error mitigation and algorithmic improvements, this work represents a crucial step towards extracting meaningful results from noisy quantum data and realising the full potential of quantum simulation. The thesis was presented on 28 October at the Faculty of Science and Engineering, Laboratory of Theory and Simulation of Materials, Doctoral Programme in Materials Science and Engineering for the degree of Doctor of Science by Laurin Elias Fischer. It was accepted on the proposal of the jury, with Professor Harald Brune as president, Professors Nicola Marzari and Ivano Tavernelli as thesis directors, Professor Zoë Holmes as rapporteur, Professor Zoltán Zimborás as rapporteur, and Professor Frank Wilhelm-Mauch as rapporteur. The work is documented as arXiv:2602.04719v1 [quant-ph] from February 2026. Advancing quantum simulation through hardware innovation, noise mitigation and algorithmic refinement promises to unlock previously intractable scientific challenges Scientists across condensed matter physics and materials science widely recognise the transformative potential of quantum computing. However, the realization of practical quantum advantage for problems
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quantum-computingNu Quantum Opens Trapped-Ion Networking Laboratory in Cambridge
Nu Quantum Opens Trapped-Ion Networking Laboratory in Cambridge Nu Quantum has announced the opening of a new trapped-ion networking laboratory in Cambridge, UK, marking the first dedicated industrial R&D facility for distributed trapped-ion quantum computing in Europe. The state-of-the-art facility doubles the company’s existing research infrastructure and serves as the primary testbed for its Entanglement Fabric roadmap. The lab is designed to prove the company’s Qubit-Photon Interface (QPI) technology with trapped-ion qubits, transitioning from theoretical modeling to in-house experimental validation of modular, multi-node quantum architectures. The technical core of the new facility is the advancement of Nu Quantum’s QPI, which utilizes optical microcavity technology to enhance the interaction between stationary qubits and flying photons. These interfaces employ nanostructured mirrors with active stabilization—achieving cavity length control with a precision of <5 picometres—to ensure resonance with specific qubit wavelengths. By integrating these microcavities into custom-built ion traps, the system facilitates high-rate, high-fidelity entanglement links between discrete quantum processing units (QPUs). This hardware-agnostic approach is designed to interconnect clusters of commercial processors into a distributed fabric, aiming to exceed current state-of-the-art remote entanglement rates and fidelities. The expansion follows Nu Quantum’s $60 million Series A funding round, the largest for a pure-play quantum networking company globally. The investment supports a growth phase focused on recruiting specialist Atomic, Molecular, and Optical (AMO) physics talent and expanding international operations. The laboratory integrates a specialized laser suite with wavelength stabilization developed in partnership with the National Quantum Computing Centre (NQCC). Collaborative efforts also involve the University of Sussex, Cisco, and Infineon Technologies, the lat
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quantum-computingEntanglement reveals the difficulty of computational problems
Adiabatic quantum computing An example problem represented by an energy landscape. Each point on the landscape represents a candidate solution. The deepest valley represents the actual solution with the lowest energy in dark blue. A difficult problem involves multiple valleys with similar depth and therefore similar energy. Arriving at the solution – the lowest energy valley – requires a large amount of entanglement and time. This is where quantum speed-up can be most crucial. (Courtesy: Einar Gabbassov)"> Adiabatic quantum computing An example problem represented by an energy landscape. Each point on the landscape represents a candidate solution. The deepest valley represents the actual solution with the lowest energy in dark blue. A difficult problem involves multiple valleys with similar depth and therefore similar energy. Arriving at the solution – the lowest energy valley – requires a large amount of entanglement and time. This is where quantum speed-up can be most crucial. (Courtesy: Einar Gabbassov) Entanglement is a key resource for quantum computation and quantum technologies, but it can also tell us much about a computational problem. That is the conclusion of a recent paper by Achim Kempf and Einar Gabbassov – who are applied mathematicians at Canada’s University of Waterloo and are affiliated with Waterloo’s Institute for Quantum Computing and the Perimeter Institute for Theoretical Physics. Writing in Quantum Science and Technology, Gabbassov and Kempf show how entanglement plays a fundamental role in determining both the efficiency and the hardness of quantum computation problems. They considered the role of entanglement in adiabatic quantum computing. This considers a landscape of hills and valleys (the problem) where the shape of the landscape depends on the problem to be solved. A point on the landscape represents a candidate solution to the problem. This could be a configuration of possible states of three qubits, for example, or “a possible
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quantum-computingComplex Chemical Calculations Made 25% Cheaper with New Quantum Technique
Researchers are continually seeking methods to reduce the computational cost of accurately modelling electronic structure, particularly for strongly correlated systems. Prateek Vaish and Brenda M. Rubenstein, both from the Department of Chemistry at Brown University, alongside Vaish et al., present a novel active space partitioning approach to significantly reduce the expense of Unitary Coupled Cluster (UCC) theory. Their work addresses the limitations imposed by the steep scaling of UCC’s Baker-Campbell-Hausdorff expansion by combining a truncated UCCSD(4) method within a selected active space with MP2 treatment of external excitations. This innovation offers a tractable pathway for modelling correlated molecules and reactions on current classical computers, and importantly, provides a viable strategy for scaling UCC calculations to meet the demands of resource-constrained hardware. This work introduces an active space UCCSD(4)/MP2 method, effectively partitioning the complex calculations to make them tractable for both classical computers and emerging quantum hardware. The research centres on a fourth-order truncation of UCCSD within a selected active space, complemented by treatment of external excitations at the MP2 level, offering a pathway to scale UCC calculations for resource-constrained systems. Two distinct formulations were explored: a composite method summing internal and external contributions, and an interacting method coupling amplitudes for enhanced accuracy. Testing encompassed the GW100 dataset, a metaphosphate hydrolysis reaction, and the strongly correlated torsion of ethylene, revealing key insights into the performance of each formulation. Results demonstrate that the interacting method, utilising canonical orbitals, maintains robustness and accurately reproduces full UCCSD(4) potential energy curves while employing only 15, 25% of the virtual orbitals within its active space. In contrast, the composite formulation proved more sensitive to both
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quantum-computingTwisted Quantum Codes Boost Error Correction and Extend Computing Potential
Researchers investigate finite-length qudit quantum low-density parity-check codes constructed using translation-invariant CSS constructions on two-dimensional tori with twisted boundary conditions. Mourad Halla, and colleagues demonstrate that twisting generalized toric patterns, viewed through a bivariate-bicycle framework, substantially improves finite-size performance. This work extends the search to qudit codes over finite fields, employing algebraic methods to compute qudit numbers and pinpoint compact codes exhibiting favourable rate-distance trade-offs. The findings reveal that, across the finite sizes examined, twisted-torus qudit constructions generally attain greater distances than untwisted codes and surpass previously published twisted instances, with the most promising new codes meticulously tabulated. Finite-length qudit LDPC codes on twisted tori enhance quantum error correction performance significantly Scientists are pioneering advancements in quantum error correction through the development of qudit codes on twisted tori, achieving improved performance over existing qubit instances. Recent work demonstrated that twisting generalized toric patterns significantly enhances finite-size performance, a concept now extended to qudits over finite fields. This research focuses on finite-length qudit quantum low-density parity-check (LDPC) codes constructed from translation-invariant CSS constructions on two-dimensional tori with twisted boundary conditions. By employing algebraic methods, researchers compute the number of logical qudits and identify compact codes exhibiting favorable rate, distance tradeoffs. The study builds upon the bivariate-bicycle viewpoint, revealing that twisting generalized toric patterns can substantially improve finite-size performance, measured by the ratio kd²/n, where n represents the number of physical qudits, k the number of logical qudits, and d the code distance. Extending this insight, the work explores qudit codes over f
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quantum-computingSuperconducting Qubits Edge Closer to Becoming a Practical Quantum Computer
Researchers are increasingly focused on superconducting qubit devices as a leading architecture for scalable quantum computation, owing to their maturity and compatibility with existing semiconductor manufacturing techniques. Hiu Yung Wong from San Jose State University, alongside colleagues, present a comprehensive review of these devices, examining the fundamental principles of superconductivity and Josephson junctions that underpin their operation. This work is significant because it not only details the various qubit designs and entanglement gate schemes currently employed, but also addresses the critical challenges hindering progress, such as two-level system defects that limit coherence. Furthermore, the authors explore strategies for large-scale integration, drawing parallels with established electronic design automation techniques used in conventional semiconductor technology, paving the way for more powerful and practical quantum computers. Superconducting qubit technology and the path towards scalable quantum processors represent a leading approach to building fault-tolerant quantum computers Scientists are rapidly approaching the scale necessary for practical quantum computation, with research now focused on the substantial engineering challenges of building systems with sufficient qubits. A recent review details the current state of superconducting qubit technology, highlighting the critical need for large-scale integration to realise a truly useful quantum computer. The work comprehensively examines the foundational elements, from qubit design and control to error mitigation strategies, paving the way for more robust and scalable quantum processors. This analysis underscores the progress made in superconducting qubits and identifies key areas for future development. Superconducting qubit computers represent a leading architecture for large-scale quantum integration due to their compatibility with existing semiconductor manufacturing processes. The study
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quantum-computingPhysicists Perform “Quantum Surgery” To Fix Errors While Computing
By combining surface codes with lattice surgery, researchers have shown how logical qubits can be manipulated and entangled while remaining protected from errors. Quantum computers are often described as a glimpse of a faster, more powerful future. The catch is that today’s devices are fragile in a way ordinary computers are not. Their biggest headache [...]
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quantum-computingNu Quantum Opens State-of-the-Art Trapped-Ion Qubit Networking Lab in Cambridge to Accelerate Distributed Quantum Computing - The Quantum Insider
Nu Quantum Opens State-of-the-Art Trapped-Ion Qubit Networking Lab in Cambridge to Accelerate Distributed Quantum Computing The Quantum Insider
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quantum-computingArtificial Black Holes Emit Radiation, Mimicking Hawking’s Groundbreaking Prediction
Researchers are increasingly exploring condensed matter systems to simulate and understand phenomena associated with black holes, and a new study by Jaiswal, Shankaranarayanan, and colleagues from the Department of Physics, Indian Institute of Technology Bombay, details the emergence and detection of Hawking radiation within a quenched chiral spin chain. This work is significant because it moves beyond simply demonstrating analogous black hole conditions to analysing the characteristics of the emitted radiation and proposing methods for its unambiguous detection. By employing both field-theoretic calculations and modelling operational quantum sensors, the team reveal deviations from ideal blackbody spectra and establish a clear protocol for differentiating genuine analog Hawking radiation from background noise in experimental platforms. Analogue Hawking radiation emerges from a chirally-driven spin chain quantum simulator through collective excitations of magnons and triplons Researchers have demonstrated the emergence and detection of Hawking radiation within a one-dimensional chiral spin chain, offering a novel platform for investigating quantum gravity phenomena. This work simulates gravitational collapse using a sudden quantum quench, inducing a phase transition that mimics the formation of a black hole horizon. By mapping the spin chain dynamics onto a Dirac fermion in a curved spacetime, the study meticulously analyzes the resulting radiation spectrum and its detectability through two distinct approaches: field-theoretic modes and operational quantum sensors. Initial findings reveal that the observed radiation spectrum deviates from the ideal Planckian form, exhibiting frequency-dependent characteristics analogous to greybody factors, yet maintains robust Poissonian statistics indicative of information loss at the formation scale. To further probe this analogue Hawking radiation, a qubit was introduced as a stationary Unruh-DeWitt detector, coupled to the chir
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Quantum Computers Sidestep Major Flaw, Paving Way for Larger, More Accurate Calculations
Scientists are increasingly exploring variational quantum eigensolvers as practical approaches to prepare ground states, but their potential for quantum advantage remains unclear. Baptiste Anselme Martin from Eviden Quantum Lab and Thomas Ayral from CPHT, CNRS, Ecole Polytechnique, IP Paris, alongside et al., demonstrate a novel method utilising differentiable 2D tensor networks to optimise parameterised circuits for the transverse field Ising model. This research is significant because it enables the preparation of highly accurate ground states for systems exceeding one dimension and crucially, mitigates the detrimental barren plateau issue by identifying enhanced gradient zones that maintain performance as system size increases. By evaluating the classical simulation cost at these optimised starting points, the team delineate regimes where quantum hardware may ultimately outperform tensor network simulations. Tensor network pre-optimisation overcomes barren plateaus in variational quantum circuits by improving initial parameterisation Researchers are pioneering a new approach to harness the power of quantum computing by integrating classical tensor network algorithms with parameterized quantum circuits. This work details the use of differentiable two-dimensional tensor networks to optimize circuits designed to prepare the ground state of the transverse field Ising model, achieving high energy accuracy even for complex systems exceeding one-dimensional limitations. The study demonstrates that pre-optimization using tensor networks effectively mitigates the barren plateau issue, a significant obstacle in quantum computation, by unlocking enhanced gradient zones that maintain their size even as system complexity increases. Specifically, the research focuses on optimizing quantum circuits using projected entangled pair states, a type of two-dimensional tensor network, combined with automatic differentiation techniques. This method allows for the efficient preparation
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quantum-computingQuantum Computer Controls Refined to Pinpoint Sources of Error in Calculations
Researchers are increasingly focused on mid-circuit measurements as essential building blocks for achieving scalable quantum computation. Piper C. Wysocki (University of New Mexico and Sandia National Laboratories), Luke D. Burkhart (MIT Lincoln Laboratory), and Madeline H. Morocco (MIT Lincoln Laboratory) et al. present a detailed characterisation of these measurements on a transmon qubit, offering a significant advance in understanding their underlying mechanisms. Their work tackles the difficulty of interpreting experimentally obtained measurement data by adapting a generator formalism, previously used for noisy quantum gates, to mid-circuit measurements. By deploying this new analysis, the team successfully quantified contributions from amplitude damping, readout errors, and imperfect state collapse, demonstrating a parsimonious model that recovers key features of dispersive readout and provides a more physically intuitive understanding of this crucial quantum process. Characterising mid-circuit measurement errors using an error generator formalism Researchers have developed a new method for dissecting and understanding errors within mid-circuit measurements, a crucial component for building large-scale, fault-tolerant quantum computers. These measurements, which read qubit states during computation without fully collapsing them, are essential for quantum error correction and advanced quantum algorithms. However, characterizing the errors inherent in these mid-circuit measurements has proven challenging, limiting the ability to debug and improve quantum circuits. This work introduces a framework adapting the error generator formalism, previously used to analyze noisy quantum gates, to the unique characteristics of mid-circuit measurements. The study overcomes a key obstacle by constructing a representation of errors that mirrors the established error generators used for logic gates, despite the fundamentally different nature of mid-circuit measurement transfer m
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quantum-computingPhD Projects in Theoretical Quantum Optics and Quantum Information at he Niels Bohr Institute
PhD Projects in Theoretical Quantum Optics and Quantum Information at he Niels Bohr Institute Application deadline: Sunday, March 15, 2026Research group: Theoretical quantum optics group at the Niels Bohr InstituteTheoretical quantum optics group at the Niels Bohr InstituteEmployer web page: Theoretical Quantum Optics GroupJob type: PhDTags: quantum opticsQuantum theoryquantum informationThe Niels Bohr Institute invites applicants for two PhD fellowships in Theoretical Quantum Optics and Quantum Information. The projects will be part of the theoretical quantum optics group and the Center for Hybrid quantum Networks (Hy-Q). The starting date is (expected to be) 1 September 2026 or as soon as possible thereafter. An earlier starting date may also be a possibility. The projects Two different projects are available Quantum Internet technology. This project will be part of the Quantum Internet Alliance (QIA), a joint European network aiming at bulding the world’s first quantum internet protype within the duration of the Ph.D. project. The successful candidate will develop physical models of the system being built with the aim of predicting and optimizing its performance. In addition the project will develop general theories for quantum internet technologies and methods for describing them. Scalable quantum information processing based on quantum dots. The projects aims at developing theories for how to implement quantum information processing with quantum dots strongly coupled to light and will be a collaboration with experimentalists at the Niels Bohr Institute, Ruhr-Universität Bochum and the University of Basel. The goal is to both develop concrete proposals for experiments which can be implemented in the near future and long term architectures for quantum information processors. Who are we looking for? We are looking for candidates within the field of Physics, Quantum Information Processing or related areas. Applicants can have a background f
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quantum-computingInside Amaravati Quantum Valley: India’s Big Bet on 1,000-Qubit Quantum Computers and Secure Networks - Indian Masterminds
Inside Amaravati Quantum Valley: India’s Big Bet on 1,000-Qubit Quantum Computers and Secure Networks Indian Masterminds
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quantum-computingAlleviating Post-Linearization Challenges for Solving Nonlinear Systems on a Quantum Computer
--> Quantum Physics arXiv:2602.07097 (quant-ph) [Submitted on 6 Feb 2026] Title:Alleviating Post-Linearization Challenges for Solving Nonlinear Systems on a Quantum Computer Authors:Tayyab Ali View a PDF of the paper titled Alleviating Post-Linearization Challenges for Solving Nonlinear Systems on a Quantum Computer, by Tayyab Ali View PDF Abstract:The linearity inherent in quantum mechanics limits current quantum hardware from directly solving nonlinear systems governed by nonlinear differential equations. One can opt for linearization frameworks such as Carleman linearization, which provides a high dimensional infinite linear system corresponding to a finite nonlinear system, as an indirect way of solving nonlinear systems using current quantum computers. We provide an efficient data access model to load this infinite linear representation of the nonlinear system, upto truncation order $N$, on a quantum computer by decomposing the Hamiltonian into the weighted sum of non-unitary operators, namely the Sigma basis. We have shown that the Sigma basis provides an exponential reduction in the number of decomposition terms compared to the traditional decomposition, which is usually done in a linear combination of Pauli operators. Once the Hamiltonian is decomposed, we then use the concept of unitary completion to construct the circuit for the implementation of each weighted tensor product component $\mathcal{H}_{j}$ of the decomposition. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.07097 [quant-ph] (or arXiv:2602.07097v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.07097 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Tayyab Ali [view email] [v1] Fri, 6 Feb 2026 14:56:39 UTC (652 KB) Full-text links: Access Paper: View a PDF of the paper titled Alleviating Post-Linearization Challenges for Solving Nonlinear Systems on a Quantum Computer, by Tayyab AliView PDFTeX Source view l
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quantum-computingPutting fermions onto a digital quantum computer
--> Quantum Physics arXiv:2602.07151 (quant-ph) [Submitted on 6 Feb 2026] Title:Putting fermions onto a digital quantum computer Authors:Riley W. Chien, Mitchell L. Chiew, Brent Harrison, Jason Necaise, Weishi Wang, Maryam Mudassar, Campbell McLauchlan, Thomas M. Henderson, Gustavo E. Scuseria, Sergii Strelchuk, James D. Whitfield View a PDF of the paper titled Putting fermions onto a digital quantum computer, by Riley W. Chien and 10 other authors View PDF HTML (experimental) Abstract:Quantum computers are expected to become a powerful tool for studying physical quantum systems. Consequently, a number of quantum algorithms for studying the physical properties of such systems have been developed. While qubit-based quantum computers are naturally suited to the study of spin-1/2 systems, systems containing other degrees of freedom must first be encoded into qubits. Transformations to and from fermionic degrees of freedom have long been an important tool in physics and, now the simulation of fermionic systems on quantum computers based on qubits provides yet another application. In this perspective, we review methods for encoding fermionic degrees of freedom into qubits and attempt to dispel the persistent notion that fermionic systems beyond one dimension are fundamentally more difficult to deal with. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.07151 [quant-ph] (or arXiv:2602.07151v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.07151 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: James Whitfield [view email] [v1] Fri, 6 Feb 2026 19:50:44 UTC (352 KB) Full-text links: Access Paper: View a PDF of the paper titled Putting fermions onto a digital quantum computer, by Riley W. Chien and 10 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2026-02 References &am
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quantum-computingNon-Markovianity in a dressed qubit with local dephasing
--> Quantum Physics arXiv:2602.07438 (quant-ph) [Submitted on 7 Feb 2026] Title:Non-Markovianity in a dressed qubit with local dephasing Authors:Saima Bashir, Muzaffar Qadir Lone, Prince A Ganai View a PDF of the paper titled Non-Markovianity in a dressed qubit with local dephasing, by Saima Bashir and 2 other authors View PDF HTML (experimental) Abstract:We study the dynamics of a dressed qubit implemented by a spinless fermion hopping between two lattice sites with each site strongly coupled to a bath of phonons. We employ Lang-Firsov transformation to make the problem tractable perturbatively. Applying time-convolutionless master equation within the polaron frame, we investigate decoherence dynamics of the dressed qubit within the singlet-triplet basis of the system for a wide range of bath spectral densities. It is shown that the coherence persists for longer time scales for large coupling values and shows non-monotonic behaviour reflecting the presence of non-Markovianity in the dynamics. Non-Markovianity, characterized by coherence revivals and non-monotonic decay patterns, emerges distinctly depending on the bath spectrum and coupling strengths. Systems coupled to sub-Ohmic baths, whether both or in combination with another type, display pronounced memory effects at relatively small values of couplings. In contrast, combinations involving Ohmic and super-Ohmic baths exhibit noticeable non-Markovianity only at higher couplings. Subjects: Quantum Physics (quant-ph); Quantum Gases (cond-mat.quant-gas) Cite as: arXiv:2602.07438 [quant-ph] (or arXiv:2602.07438v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.07438 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Saima Bashir [view email] [v1] Sat, 7 Feb 2026 08:38:15 UTC (2,165 KB) Full-text links: Access Paper: View a PDF of the paper titled Non-Markovianity in a dressed qubit with local dephasing, by Saima Bashir and 2 other authors
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quantum-computingRecursive QAOA for Interference-Aware Resource Allocation in Wireless Networks
--> Quantum Physics arXiv:2602.07483 (quant-ph) [Submitted on 7 Feb 2026] Title:Recursive QAOA for Interference-Aware Resource Allocation in Wireless Networks Authors:Kuan-Cheng Chen, Hiromichi Matsuyama, Wei-hao Huang, Yu Yamashiro View a PDF of the paper titled Recursive QAOA for Interference-Aware Resource Allocation in Wireless Networks, by Kuan-Cheng Chen and 3 other authors View PDF HTML (experimental) Abstract:Discrete radio resource management problems in dense wireless networks are naturally cast as quadratic unconstrained binary optimization (QUBO) programs but are difficult to solve at scale. We investigate a quantum-classical approach based on the Recursive Quantum Approximate Optimization Algorithm (RQAOA), which interleaves shallow QAOA layers with variable elimination guided by measured single- and two-qubit correlators. For interference-aware channel assignment, we give a compact QUBO/Ising formulation in which pairwise interference induces same-channel couplings and one-hot constraints are enforced via quadratic penalties (or, optionally, constraint-preserving mixers). Within RQAOA, fixing high-confidence variables or relations reduces the problem dimension, stabilizes training, and concentrates measurement effort on a shrinking instance that is solved exactly once below a cutoff. On simulated instances of modest size, including a four-user, four-channel example, the method consistently returns feasible assignments and, for the demonstrated case, attains the global optimum. These results indicate that recursion can mitigate parameter growth and feasibility issues that affect plain QAOA, and suggest a viable pathway for near-term quantum heuristics in wireless resource allocation. Subjects: Quantum Physics (quant-ph); Distributed, Parallel, and Cluster Computing (cs.DC) Cite as: arXiv:2602.07483 [quant-ph] (or arXiv:2602.07483v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.07483 Focus to learn more arXiv-issued DOI v
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