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Topological Quantum Computing: Microsoft Majorana Qubits & Error Protection

Topological quantum computing news: Microsoft Azure Quantum, Majorana fermions, topological qubits. Intrinsic error protection research.

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Topological quantum computing represents the most ambitious approach to fault-tolerant quantum computation, encoding information in global topological properties of quantum systems rather than individual particles. This intrinsic error protection theoretically enables quantum computing with hardware error rates orders of magnitude higher than conventional qubits require.

Microsoft Azure Quantum leads development through its Station Q research division, pursuing topological qubits based on Majorana zero modes—quasiparticles that are their own antiparticles and exist at the boundaries of topological superconductors. When braided, Majorana modes perform quantum gates that depend only on the braiding topology, not local perturbations.

India's Topological Quantum Research

India's theoretical physics community contributes to topological quantum computing research through institutions including the Tata Institute of Fundamental Research (TIFR) Mumbai, Indian Institute of Science (IISc) Bengaluru, and the International Centre for Theoretical Sciences (ICTS) Bengaluru. Research focuses on topological phases of matter, anyonic statistics, and quantum information theory foundations. The National Quantum Mission does not currently prioritize topological qubit hardware development, focusing instead on superconducting, photonic, and neutral atom platforms with nearer-term viability.

Key Advantages

Key advantages include intrinsic topological protection eliminating need for active quantum error correction overhead, hardware error tolerance potentially 1,000x higher than other qubit types, and stable quantum information storage. Current challenges include experimental verification of Majorana modes remaining contentious, requirements for exotic materials at millikelvin temperatures, and no confirmed demonstration of topological qubit operation.

Recent Progress

Recent progress includes new generation experiments using improved hybrid semiconductor-superconductor devices (InAs/Al, InSb/Al heterostructures) reporting more robust Majorana signatures. Microsoft continues significant investment despite delays.

Chicago Team Builds Integer Programming Topological Decoderquantum-computing

Chicago Team Builds Integer Programming Topological Decoder

Achieving key quantum error correction across diverse topological orders proved challenging due to limitations in existing decoders handling complex anyon behaviours. An integer linear programming (ILP) decoder now corrects errors in both Abelian and non-Abelian topological orders; it effectively manages correlated errors and varied anyon fusion rules. An improved method exists for correcting errors in quantum computers using topological codes, protecting information by encoding it within exotic particles called anyons. The new technique uses integer linear programming, a mathematical optimisation approach, to address ‘correlated’ errors where multiple data bits fail simultaneously, something previous methods struggled with. This advancement supports more complex types of topological orders, enhancing the robustness needed to build practical error-resistant quantum machines through better decoding strategies. A new technique has been unveiled for correcting errors in quantum computers using topological codes; these codes encode information within exotic particles called anyons, offering resilience against data corruption. Imagine arranging tiles on a floor, different arrangements represent unique ways to protect information even if some tiles are damaged; disturbances or ‘defects’ in that tile pattern signal an error has occurred. The team’s innovation lies in employing integer linear programming, akin to solving a puzzle where you find whole number solutions satisfying multiple rules simultaneously, to tackle ‘correlated errors affecting several bits at once and accommodate complex behaviours from various types of topological order. This advancement surpasses existing methods by effectively managing intricate scenarios and improving the robustness needed for practical machines. Reduced decoding complexity enables low error rates in diverse topological phases Error rates dropped to 8.4% for the Abelian Z 2 topological order under depolarizing noise using the new dec

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Adaptive Error Budget Allocation for Fault-Tolerant Quantum Resource Estimation: A Metaheuristic Approachquantum-computing

Adaptive Error Budget Allocation for Fault-Tolerant Quantum Resource Estimation: A Metaheuristic Approach

--> Quantum Physics arXiv:2608.19249 (quant-ph) [Submitted on 16 Aug 2026] Title:Adaptive Error Budget Allocation for Fault-Tolerant Quantum Resource Estimation: A Metaheuristic Approach Authors:Asif Akhtab Ronggon, Tasnuva Farheen View a PDF of the paper titled Adaptive Error Budget Allocation for Fault-Tolerant Quantum Resource Estimation: A Metaheuristic Approach, by Asif Akhtab Ronggon and 1 other authors View PDF HTML (experimental) Abstract:System-level resource estimation is a key component of fault-tolerant quantum computing (FTQC) toolchains. Its efficiency depends on how global error tolerance is allocated across logical operations, T-state distillation, and rotation synthesis to minimize physical resource overhead. The commonly used uniform-allocation strategy ignores circuit-specific structure and can overprovision inactive or less critical subsystems, leading to inflated space-time estimates. Prior work aims to address this limitation using supervised models trained on offline-generated datasets. However, this approach incurs additional data-generation costs and limits deployment flexibility. To overcome these drawbacks, we propose a training-free optimization framework that performs derivative-free search directly on the Azure Quantum Resource Estimator (AQRE), enabling instance-specific error budget allocation for previously unseen circuits without requiring offline training data. To evaluate robustness to optimizer choice, we instantiate the framework with two structurally distinct metaheuristics, simulated annealing and quantum particle swarm optimization. We evaluate our framework across 433 circuits spanning 2 to 91 qubits from 31 families in the MQT Bench suite. Across the benchmark suite, both methods reduce space-time cost by more than 33\% on average and agree within 1.34\% points, indicating that the gains are stable across different metaheuristic search strategies. Our analysis further finds that the optimization benefit is driven primarily

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Antidots measure anyonic charge in graphenequantum-computing

Antidots measure anyonic charge in graphene

Anyons are fractionally charged quasiparticles of the quantum Hall effect, and could one day power topological quantum computers. Trapping and measuring anyons remains difficult, but quasiparticle charges have now been measured using a gate-defined antidot in bilayer graphene. For hole-conjugate states, the parity of downstream integer edge modes sets the observed charge. This is a preview of subscription content, access via your institution Access options Access through your institution Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Learn more Subscribe to this journal Receive 12 print issues and online access $259.00 per year only $21.58 per issue Learn more Buy this articlePurchase on SpringerLinkInstant access to the full article PDF.USD 39.95Prices may be subject to local taxes which are calculated during checkout Fig. 1: Antidot device and measurement of fractional charge. Subjects Electronic properties and materials Quantum Hall ReferencesNayak, C., Simon, S. H., Stern, A., Freedman, M. & Das Sarma, S. Non-Abelian anyons and topological quantum computations. Rev. Mod. Phys. 80, 1083–1159 (2008). A review article about non-Abelian anyons and how braiding them could realize fault-tolerant topological quantum computation.Article  ADS  MathSciNet  Google Scholar  Glattli, D. C. Quantum shot noise of conductors and general noise measurement methods. Eur. Phys. J. Spec. Top. 172, 163–179 (2009). This review article covers experimental techniques for measuring current fluctuations, including methods for fractional charge detection.Article  Google Scholar  Dean, C., Kim, P., Li, J. I. A. & Young, A. in Fractional Quantum Hall Effects: New Developments (eds Halperin, B. I & Jain, J. K.) 317–375 (World Scientific, 2020). This book chapter reviews progress in understanding the fractional quantum Hall effects in graphene.Sim, H

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Hardness of approximation for minimum-weight decoding of two-dimensional topological quantum codesquantum-computing

Hardness of approximation for minimum-weight decoding of two-dimensional topological quantum codes

--> Quantum Physics arXiv:2608.17109 (quant-ph) [Submitted on 17 Aug 2026] Title:Hardness of approximation for minimum-weight decoding of two-dimensional topological quantum codes Authors:Louay Bazzi, Georges Khater View a PDF of the paper titled Hardness of approximation for minimum-weight decoding of two-dimensional topological quantum codes, by Louay Bazzi and Georges Khater View PDF HTML (experimental) Abstract:Efficient decoding is essential for the practical realization of fault-tolerant quantum computers. We study the computational complexity of minimum-weight decoding for topological quantum codes. For surface codes under the depolarizing channel, we consider Minimum-Weight decoding, which seeks a minimum-weight Pauli error consistent with both the $X$- and $Z$-syndromes. For color codes under independent $X$- and $Z$-error models, we consider Separate Minimum-Weight decoding. Assuming $P\neq NP$, we establish polynomial additive inapproximability gaps for these problems. Specifically, for the toric code and the $4.8.8$ color code on the torus, no polynomial-time algorithm can always produce a solution whose weight is within $\Omega(N^{1/14})$ of the optimum, where $N$ is the number of qubits. For the planar surface code, we obtain an $\Omega(N^{1/18})$ gap. Our inapproximability results use Håstad's hardness of approximation for MAX-3SAT. Our reduction develops a general, modular framework for embedding logical constraints into coupled primal--dual join problems on a lattice. A key ingredient is a localization argument that controls unintended interactions between different parts of the construction. Subjects: Quantum Physics (quant-ph); Computational Complexity (cs.CC) Cite as: arXiv:2608.17109 [quant-ph]   (or arXiv:2608.17109v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.17109 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Louay Bazzi [view email] [v1] Mon, 17 Aug 2026 20

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Quantum Motion Expands to Maryland’s Discovery District to Scale US Commercial and Defense Operationsquantum-computing

Quantum Motion Expands to Maryland’s Discovery District to Scale US Commercial and Defense Operations

Quantum Motion Expands to Maryland’s Discovery District to Scale US Commercial and Defense Operations U.K.-based silicon quantum computing company Quantum Motion has established a new U.S. operational hub in the University of Maryland’s Discovery District in College Park. The site will support the company’s commercial expansion and public-sector operations, placing Quantum Motion close to U.S. federal research and defense entities, including the Defense Advanced Research Projects Agency (DARPA) and the Applied Research Laboratory for Intelligence and Security (ARLIS). [ Quantum Motion US Operational Architecture ] │ ┌─────────────────────────────────┼─────────────────────────────────┐ ▼ ▼ ▼ Silicon CMOS Hardware Stack Federal Defense Integration Regional Hub Co-Location • Standard Fab Spin-Qubit QPUs. • DARPA QBI Program Support. • UMD Discovery District Complex. • Mass-Manufacturable Silicon. • ARLIS Research Initiatives. • Capital of Quantum (CoQ) Hub. • Scalable Control Electronics. • Public-Sector Commercialization. • Co-located with IonQ & Microsoft. The expansion leverages Quantum Motion’s core technical approach—developing spin-qubit quantum processing units (QPUs) using standard silicon complementary metal-oxide-semiconductor (CMOS) manufacturing processes. By utilizing existing semiconductor foundry fabrication infrastructure, Quantum Motion aims to manufacture high-density quantum chips at scale. Key operational objectives for the Maryland facility include: Government and Defense Collaboration: Supporting U.S. defense initiatives, including participation in DARPA’s Quantum Benchmarking Initiative (QBI) to evaluate scalable hardware metrics and fault-tolerant architectures. Regional Ecosystem Integration: Joining College Park’s quantum cluster alongside IonQ, Microsoft Quantum, IQM Quantum Computers, and NanoQT. State Initiative Alignment: Supporting Maryland’s Capital of Quantum (CoQ) initiative, a state-backed program launched in 2025 to expand public

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Any experience with Microsoft Azure or Quantinuum Nexus?quantum-computing

Any experience with Microsoft Azure or Quantinuum Nexus?

I have recently started learning about and working with the QIR LLVM extension by Microsoft and others. As far as I know, Microsoft and Quantinuum are the only companies that officially use QIR for their quantum computers. They both have cloud services in Microsoft Azure Quantum and Quantinuum Nexus. They seem to have advanced simulators and optimisation tools. My question is, if any of you have ever used these? I would be interested in your experience and thoughts about them. submitted by /u/JakeX02 [link] [comments]

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Quantum Sensing Leverages ML to Track Three-Level System Phasequantum-computing

Quantum Sensing Leverages ML to Track Three-Level System Phase

Researchers affiliated with the Dipartimento di Fisica e Astronomia ”Ettore Majorana”, Università di Catania, Italy have successfully trained a multi-layer perceptron (MLP) to estimate the plaquette phase within a three-level system, demonstrating a new method for extracting information using artificial intelligence. The team utilized STImulated Raman Adiabatic Passage (STIRAP) population transfer efficiencies as the data source for the machine learning model, establishing a direct link between a specific quantum control technique and AI-driven analysis. This plaquette phase profoundly affects system dynamics by breaking coherent population trapping and inducing a non-trivial phase dependence, according to the work. The results highlight how combining coherent control and machine learning enables effective phase identification, potentially opening new perspectives for quantum technologies, specifically quantum sensing applications including synthetic gauge fields. Plaquette Phase Impacts Coherent Population Trapping The subtle interplay of quantum phases can dramatically alter system behavior, and recent work demonstrates this with the identification of a phase in three-level quantum systems that profoundly affects the system dynamics, breaking coherent population trapping. The team’s findings reveal that accurately estimating this plaquette phase is now possible through a combination of established quantum control methods and machine learning. STIRAP is a well-established technique for efficiently moving quantum populations between states, but the presence of the plaquette phase introduces complexities. The researchers discovered that the efficiency of STIRAP is affected by the phase, creating a measurable signature that a machine learning algorithm can interpret. Specifically, a multi-layer perceptron (MLP), a type of machine learning, was successfully trained to estimate the plaquette phase, demonstrating a novel way to extract information from quantum systems us

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Robust topological quantum state transfer with long-range interactions in Rydberg arraysquantum-computing

Robust topological quantum state transfer with long-range interactions in Rydberg arrays

AbstractWe develop a theoretical framework for fast, robust and high-fidelity topological quantum state transfer in one-dimensional systems with long-range couplings, motivated by chains of Rydberg atoms with dipole–dipole interactions. Such long-range interactions naturally give rise to extended Su–Schrieffer–Heeger and Rice–Mele models supporting topologically protected edge states. We show that these edge states enable high-fidelity edge-to-edge excitation transfer using both time-independent protocols, based on coherent edge state dynamics, and time-dependent protocols, based on adiabatic modulation of system parameters. Long-range couplings play a central role by enhancing the relevant energy gaps, leading to a substantial improvement in transfer efficiency compared to nearest neighbour models. The resulting transfer is robust against positional disorder, reflecting its topological origin and highlighting the potential of long-range interacting platforms for reliable quantum state transfer.Featured image: Quantum state transfer in the extended Rice-Mele model. a)-e) Rydberg excitation probability distribution and lattice configuration at representative times during an edge-to-edge quantum state transfer protocol in the extended Rice–Mele model. Empty circles denote lattice sites with zero excitation probability, while filled circles indicate non-zero excitation probability, with color intensity proportional to the local population. f) Transfer fidelity $F$ as a function of the total transfer time $T$ for increasing chain lengths from $N=4$ to $N=16$. The inset shows the temporal variation of the geometrical parameters $b$ and $h$ and of the sublattice energy offset $\hbar\Delta$ during the transfer. The grey (white) background indicates parameter regions corresponding to the non-topological (topological) phase.► BibTeX data@article{Raupach2026robusttopological, doi = {10.22331/q-2026-08-13-2190}, url = {https://doi.org/10.22331/q-2026-08-13-2190}, title = {Robu

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Williamson majorization theory of fermionic non-Gaussianityquantum-computing

Williamson majorization theory of fermionic non-Gaussianity

--> Quantum Physics arXiv:2608.10140 (quant-ph) [Submitted on 10 Aug 2026] Title:Williamson majorization theory of fermionic non-Gaussianity Authors:Xhek Turkeshi, Piotr Sierant, Poetri Sonya Tarabunga View a PDF of the paper titled Williamson majorization theory of fermionic non-Gaussianity, by Xhek Turkeshi and 2 other authors View PDF HTML (experimental) Abstract:Pure-state entanglement rests on a single algebraic backbone: majorization of the Schmidt spectrum governs state conversion under local operations and classical communication, and constrains entanglement monotones. Here we establish a corresponding majorization law for fermionic non-Gaussianity, the resource that elevates free fermions to universal quantum computation. Under any fermionic Gaussian protocol with pure state outcomes, the Williamson spectrum of a pure state's Majorana covariance matrix is weakly majorized by its ensemble average. This spectral law mirrors that of entanglement theory. It turns computable non-Gaussianity quantifiers such as fermionic antiflatness and occupation entropies into strong monotones for fermionic non-Gaussianity, and delivers necessary conditions and converse bounds on state conversion under Gaussian protocols. When fermion parity is conserved, no catalyst can remove a majorization obstruction---unless it carries parity coherence---and asymptotic interconversion is irreversible already for pure states. All relevant quantities are accessible from two-point Majorana correlators, turning the theory developed here into experimentally observable properties of quantum matter, testable on present-day quantum devices. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.10140 [quant-ph]   (or arXiv:2608.10140v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.10140 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Poetri Sonya Tarabunga [view email] [v1] Mon, 10 Aug 2026 18:55:03 UTC (

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This Trillion-Dollar AI Stock Offers Better Quantum Computing Exposure Than IonQ, Rigetti, or D-Wave at a Multi-Year Valuation Lowquantum-computing

This Trillion-Dollar AI Stock Offers Better Quantum Computing Exposure Than IonQ, Rigetti, or D-Wave at a Multi-Year Valuation Low

If you want quantum computing exposure without betting the farm on a pre‑profit science project, I think a case is building that Microsoft (MSFT +0.03%) is the more interesting option right now. Microsoft is a $3 trillion AI stock whose own quantum roadmap has matured quietly in the background, and with sentiment cooled after a year of worry about AI spending, you're getting that quantum upside at what looks like a multiyear valuation low instead of peak euphoria. Image source: Getty Images. Microsoft is already a quantum platform Microsoft doesn't market itself as a quantum stock, but its Azure Quantum materials read like a company that has spent years building a full stack. Azure Quantum is a cloud service where developers can run quantum programs today on hardware from partners such as IonQ (IONQ +11.86%), Rigetti (RGTI +8.53%), Quantinuum (QNT -0.29%), and Pasqal, or on advanced simulators, using the same Azure environment they use for AI and high-performance computing. That matters. Quantum is not off in a lab. It's already being wired into Microsoft's mainstream developer tools and cloud workflows. ExpandNASDAQ: MSFTMicrosoftToday's Change(0.03%) $0.13Current Price$499.99Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$3.7TMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's Range$498.73 - $505.1852wk Range$349.20 - $553.72Volume28.8MAvg Vol41.2MGross Margin67.94%Dividend Yield0.71% In its quantum overview, Microsoft describes Azure Quantum as an "open, flexible, and future-proofed path" that adapts to how customers actually work. The company is effectively acting as the orchestrator, sitting between enterprise demand and multiple hardware providers. That is a very different position from a single hardware vendor trying to persuade the world to come and build on its island. Azure Quantum Elements and the long game The part that re

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Ising Models Simulate Majorana Fermions in Black Hole Spacetimequantum-computing

Ising Models Simulate Majorana Fermions in Black Hole Spacetime

Researchers at the National Institute of Physics, University of the Philippines Diliman, have found that transverse-field Ising models, systems of interacting quantum spins, can effectively simulate Majorana fermions within the curved spacetime surrounding a Schwarzschild black hole. The study finds that four distinct mathematical representations of this spacetime, Schwarzschild, tortoise, Kruskal, and conformally flat, each map onto a different microscopic Ising spin model, yet all converge to the same Majorana field theory. This convergence, described as exhibiting an emergent form of general covariance, provides a rare example of a fundamental symmetry of general relativity arising as an emergent property of a condensed matter system. The authors further demonstrate how black hole particle production can be simulated and detected through spin correlation measurements, and discuss experimental platforms capable of realizing these models. The work establishes a practical route for investigating fermionic quantum field theory in curved spacetime using controllable quantum many-body systems and tabletop experiments. The assertion that distinct mathematical descriptions of the same physical spacetime can map onto fundamentally different microscopic models is now being validated through novel quantum simulations. This unexpected connection highlights a deep relationship between the mathematical tools used to describe spacetime and the underlying physical models that govern its behavior. This work builds upon the understanding that quantum field theory (QFT) emerges universally as an effective low-energy description of a broad class of quantum many-body systems. A new approach detailed in recent work suggests a pathway toward tabletop experiments utilizing condensed matter systems as analog gravitational environments. This work builds on previous findings, demonstrating how the Unruh effect can emerge in spin models representing an expanding universe. Their work details

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Florida Atlantic University Launches Executive Certificate in Quantum Computing Strategyquantum-computing

Florida Atlantic University Launches Executive Certificate in Quantum Computing Strategy

Florida Atlantic University Launches Executive Certificate in Quantum Computing Strategy The Executive Education program in the College of Business at Florida Atlantic University (FAU) has launched a new professional certificate course titled “Quantum Computing: Business and Sourcing Strategy.” Designed for non-technical enterprise leaders, technology executives, procurement directors, and strategists, the eight-week program focuses on evaluating, sourcing, and deploying quantum capabilities across commercial and public sector organizations. Scheduled to run from August 24 to October 12, 2026, the 24-hour course ($2,700 tuition) is offered both on-campus at FAU’s Boca Raton campus and via live virtual sessions. Led by Dr. Mehran Basiratmand, Director of Innovation and Programs, alongside College of Business Dean Dr. Daniel Gropper, the curriculum covers four primary areas: enterprise information systems and software licensing agreements, quantum ecosystem evaluation (spanning IBM Quantum, Google Quantum AI, D-Wave, IonQ, Quantinuum, AWS Braket, and Azure Quantum), Quantum-as-a-Service (QaaS) procurement strategies, post-quantum cryptography risk management, and hands-on laboratory exercises. The educational initiative follows FAU’s landmark $20 million agreement with D-Wave Quantum Inc. to install an on-site, 4,400+ qubit Advantage2™ annealing quantum computer at its Boca Raton campus. The installation makes FAU the first university in Florida to host a dedicated, on-premises quantum system, positioning South Florida as an emerging regional hub for hybrid quantum computing research, defense application development, and workforce training. Review the official announcement on the FAU Newsdesk here, and explore curriculum details on the FAU Executive Education Portal here. August 7, 2026 Mohamed Abdel-Kareem2026-08-07T10:38:17-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data

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Microsoft’s Quantum Chief Doesn’t Care That Scientists Don’t Believe His Results - WIREDquantum-computing

Microsoft’s Quantum Chief Doesn’t Care That Scientists Don’t Believe His Results - WIRED

Save StorySave this storySave StorySave this storyThe man leading Microsoft’s multibillion-dollar scheme to build a quantum computer says he isn’t interested in appeasing scientists.When Zulfi Alam’s team claimed last year to have effectively split an electron into so-called Majorana quasiparticles in its bid to reinvent computing, some scientists simply didn’t believe the software giant. They cited inconclusive data in Microsoft’s research papers and the lack of peer-review analysis for many of the results. But Alam, Microsoft’s corporate vice president of quantum, tells WIRED with a chuckle, “I don’t really care.”Microsoft is one of several tech powerhouses racing alongside a raft of startups to build commercially useful quantum computers. The goal for these companies is to create computers that could solve currently impossible problems in fields from drug development to defense by exploiting quantum mechanics to process units of information, known as bits, in a fundamentally different way than how classical machines do. (There are also concerns that quantum computers will be used to crack encryption.) Companies are taking different approaches to constructing quantum bits—“qubits” for short—including using neutral atoms, charged atoms, and light.While Microsoft’s approach is theoretically promising, Majorana particles, which were first hypothesized nearly 90 years ago, have proved elusive. The firm’s longest-running research project has also been plagued by controversies. Last year’s breakthrough announcement was met with intense skepticism by scientists, because they couldn’t rule out that other physical phenomena were driving the signals Microsoft had used to draw its conclusion. In 2021, Microsoft retracted a quantum computing paper from Nature that claimed to have found evidence of Majorana particles after independent physicists pointed out issues in the data analysis.In June, the software giant said it had produced a qubit that’s 1,000 times more reliable tha

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Reconstructing non-Abelian braiding and fusion without anyon transportquantum-computing

Reconstructing non-Abelian braiding and fusion without anyon transport

--> Quantum Physics arXiv:2608.04103 (quant-ph) [Submitted on 4 Aug 2026] Title:Reconstructing non-Abelian braiding and fusion without anyon transport Authors:Lucy Byles, Matthew D. Horner, Benjamin T. H. Varcoe, Jiannis K. Pachos View a PDF of the paper titled Reconstructing non-Abelian braiding and fusion without anyon transport, by Lucy Byles and 2 other authors View PDF HTML (experimental) Abstract:Non-Abelian anyons offer a route to fault-tolerant and universal quantum computing, but experimental access to their defining braiding and fusion data remains limited by the resource overhead of implementing extended anyonic processes on quantum hardware. Here we introduce and experimentally realise a measurement-only protocol based on temporally ordered ribbon operations that reconstructs the non-Abelian braiding and fusion primitives of the quantum double model $D(S_3)$ without physical anyon transport. We implement a reduced two-qutrit version of the protocol on Quantinuum's H2 trapped-ion processors, realising ancilla-assisted ribbon operations and anyonic charge projections in a qubit encoding. We reconstruct the squared braiding phases and fusion amplitudes using an adapted Hadamard test and post-selected measurements, respectively. The associated braiding and fusion transformations reproduce their ideal actions with average normalised output-state fidelities of $\overline{\mathcal{F}}_{R}=0.9988$ and $\overline{\mathcal{F}}_{F}=0.9987$. Combining these primitives produces a non-Clifford braid and a non-stabilizer resource state, supporting measurement-only anyonic encodings as building blocks for larger topologically encoded quantum processors. Comments: Subjects: Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el); High Energy Physics - Theory (hep-th) Cite as: arXiv:2608.04103 [quant-ph]   (or arXiv:2608.04103v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.04103 Focus to learn more arXiv-issued DOI via D

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Analytic correspondence between multipartite entanglement and quantum phase transitionsquantum-computing

Analytic correspondence between multipartite entanglement and quantum phase transitions

--> Quantum Physics arXiv:2608.04467 (quant-ph) [Submitted on 5 Aug 2026] Title:Analytic correspondence between multipartite entanglement and quantum phase transitions Authors:Huynh Le Dan Linh, Vu Tuan Hai, Le Bin Ho View a PDF of the paper titled Analytic correspondence between multipartite entanglement and quantum phase transitions, by Huynh Le Dan Linh and 2 other authors View PDF HTML (experimental) Abstract:We derive an analytic correspondence between multipartite concentratable entanglement (CE) and quantum phase transitions in one-dimensional quantum spin systems. We prove that CE shares the same analyticity structure as generalized order parameters, identifies the same quantum phases, and, for Gaussian ground states, is completely determined by the same single-particle correlation matrix. Numerical validation on the transverse-field Ising and generalized cluster-Ising models confirms these analytical predictions for both symmetry-breaking and symmetry-protected topological quantum phase transitions. Since CE can be measured directly using a constant-depth parallelized SWAP-test circuit, our results establish CE as an experimentally accessible, model-independent probe of quantum phase transitions without requiring model-specific order parameters. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.04467 [quant-ph]   (or arXiv:2608.04467v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.04467 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Le Ho Bin [view email] [v1] Wed, 5 Aug 2026 05:40:55 UTC (2,557 KB) Full-text links: Access Paper: View a PDF of the paper titled Analytic correspondence between multipartite entanglement and quantum phase transitions, by Huynh Le Dan Linh and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 References & Citati

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Quantum Computing’s “Dark Horse” Just Cleared a Major Hurdlequantum-computing

Quantum Computing’s “Dark Horse” Just Cleared a Major Hurdle

Researchers have shown that exotic quantum objects called non-Abelian anyons can support a complete set of operations for universal quantum computing. Credit: ShutterstockResearchers demonstrated that braiding and fusing particles known as non-Abelian anyons can perform every operation required by a quantum computer.A quantum computer becomes broadly useful only when it can perform any computation rather than a limited set of specialized tasks. Physicists have now demonstrated that unusual quantum objects called non-Abelian anyons can provide that versatility by supporting the full range of operations required for universal quantum computing.Researchers from the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), Harvard, Stony Brook University and Quantinuum constructed and tested a complete computational toolkit based on non-Abelian anyons. Their experiments offer the first demonstration that this approach can support universal quantum operations.“We demonstrated a so-called universal gate set—meaning that if you store information in these emergent versions of quarks, and you move them around, you can do any quantum computation you might want to do,” said Ruben Verresen, assistant professor of molecular engineering at UChicago PME and a co-author of the new study published in Nature.The method could support both general-purpose quantum computing and more reliable machines. Quantum computers ordinarily protect information by distributing it across many physical qubits through error correction. However, those codes usually cannot perform every required operation directly on the protected information.Engineers often overcome that limitation with specially prepared resources called “magic states.” Producing them requires a demanding distillation process that can consume a substantial portion of a quantum computer’s available qubits. The findings indicate that non-Abelian anyons may provide a way around that expensive step.“Non-Abelian codes

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Quantum Dot Chains Display Stable Majorana Signatures in Currentquantum-computing

Quantum Dot Chains Display Stable Majorana Signatures in Current

A remarkably stable signal detected in a three-quantum-dot system offers a new way to verify the existence of modes, quasiparticles with potential for robust quantum computing. Researchers from the Department of Electrical Engineering and Department of Physics at the Indian Institute of Technology Bombay, as well as from the Low Temperature Laboratory and InstituteQ at Aalto University, and Aix Marseille Univ, CNRS, CPT, and University of Toulon, France, have moved beyond traditional methods, utilizing current-current correlations to probe the non-locality of these entangled states. The work demonstrates that the stability of these Majorana modes is embedded in the relative magnitudes of nonlocal transport processes, showing remarkable stability around the PMM sweet spot, specifically with respect to the detuning of an outer dot, according to the authors. This approach establishes a diagnostic for true Majorana modes, even within a minimal configuration, and highlights the need for current cross-correlation measurements as a diagnostic framework for unambiguously verifying true non-locality of entangled states as well as topologically protected states. A compact architecture, constructed from a minimal Kitaev chain (MKC) with three quantum dots, is emerging as a promising and tunable platform for hosting poor man’s Majorana (PMM) modes. This approach challenges the expectation that complex quantum phenomena require correspondingly large and intricate systems. Researchers at Aalto University, the Indian Institute of Technology Bombay, Aix Marseille Univ, CNRS, CPT, and University of Toulon are introducing current-current correlations as a framework to definitively confirm the non-local nature of these elusive quantum states. The team’s analysis reveals that the interplay between elastic cotunneling and crossed Andreev reflection transmissions directly reflects the underlying Majorana wavefunctions and their behavior under detuning. They establish that current cross-c

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On $R$-parastatistics I: Foundationquantum-computing

On $R$-parastatistics I: Foundation

--> Quantum Physics arXiv:2607.26351 (quant-ph) [Submitted on 28 Jul 2026] Title:On $R$-parastatistics I: Foundation Authors:Zhiyuan Wang, Kaden R. A. Hazzard View a PDF of the paper titled On $R$-parastatistics I: Foundation, by Zhiyuan Wang and Kaden R. A. Hazzard View PDF Abstract:Parastatistics is an exotic type of exchange statistics beyond fermions and bosons. Paraparticles transform in higher dimensional representations of the exchange symmetry group, analogous to non-Abelian anyons, yet consistently defined in any dimension. Although paraparticles have long been proposed, they were widely believed to be physically equivalent to fermions or bosons. Nevertheless, a recent paper proposed a different theory, called $R$-parastatistics, and demonstrated that nontrivial $R$-paraparticles can emerge as quasiparticles in condensed matter systems, and are observably distinct from both fermions and bosons. This paper develops the theoretical foundation and several extensions of $R$-parastatistics, with particular emphasis on its observable consequences. Central to this paper is a general theory of local observables extending the basic family introduced before. First, we define local observables that distinguish particle types. Second, we formulate local observables at special point defects that probe the internal indices of $R$-paraparticles, crucial for observing $R$-parastatistics and for the proposed applications in quantum information. Third, we introduce local observables that create or annihilate particle-antiparticle pairs, important for building a relativistic quantum field theory for $R$-paraparticles. We further introduce generalized hidden symmetries that act on internal indices of $R$-paraparticles while preserving the local observable algebra, providing a basis for proving local indistinguishability and for connecting to a categorical description of $R$-paraparticles. This work sets a solid theoretical foundation for understanding the fundamental physical

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How Invertible TQFTs Yield Scalable Quantum Cellular Automataquantum-computing

How Invertible TQFTs Yield Scalable Quantum Cellular Automata

Meng Sun and colleagues have established an algebraic construction linking invertible topological quantum field theories (TQFTs) to quantum cellular automata (QCAs), offering a scalable method for building quantum dynamics. The work unifies previously disparate QCA constructions, including the U(1)2 and U(1)4 models, under a common framework based on the subgroup. Researchers discovered that dimensions of the form d=4k-1 yield infinite families of generalized U(1)2 and U(1)4 non-Clifford QCAs, expanding beyond existing models. This approach also reformulates the 4-dimensional QCA as a foundation for generating two further infinite families of QCAs from TQFTs associated with Wu classes. Algebraic Construction Defines Quantum Cellular Automata A novel algebraic construction now links invertible topological quantum field theories directly to the microscopic definition of quantum cellular automata, offering a unified framework for generating these models of quantum dynamics. Meng Sun and colleagues demonstrated that existing methods for building QCAs, including those for the U(1)2 and U(1)4 models, fall under a single formalism; previously, these similar QCAs were approached with distinct techniques. The team reformulated the four-dimensional QCA, establishing it as a foundational element for a broader construction of QCAs derived from topological quantum field theories associated with products of Wu classes. This yields two infinite families of QCAs, expanding the potential for creating complex quantum systems. The authors write that these results convert invertible TQFTs into microscopic QCAs, indicating a scalable route to higher-dimensional constructions that move beyond the limitations of Clifford quantum computing. Further analysis revealed that the 5-dimensional and QCAs are trivial, confirmed by the construction of finite-depth quantum circuits; this finding aligns with existing cobordism classifications. The work provides a systematic approach to classifying th

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Non-Clifford quantum cellular automata from invertible topological quantum field theoriesquantum-computing

Non-Clifford quantum cellular automata from invertible topological quantum field theories

--> Quantum Physics arXiv:2607.21697 (quant-ph) [Submitted on 23 Jul 2026] Title:Non-Clifford quantum cellular automata from invertible topological quantum field theories Authors:Meng Sun, Zongyuan Wang, Bowen Yang, Nathanan Tantivasadakarn, Yu-An Chen View a PDF of the paper titled Non-Clifford quantum cellular automata from invertible topological quantum field theories, by Meng Sun and 4 other authors View PDF Abstract:Quantum cellular automata (QCAs) describe locality-preserving quantum dynamics and connect quantum information, many-body physics, and topological quantum field theory (TQFT). Constructing a QCA from a TQFT, however, is challenging. Although a topological action can produce a commuting Hamiltonian realizing the desired ground state, it does not by itself specify an automorphism of the full local operator algebra. In this work, we develop a unified algebraic construction that extends the commuting generators of the Hamiltonian to a complete separator-flipper algebra on the full tensor-product Hilbert space, providing a microscopic definition of the corresponding QCA. In three spatial dimensions, our formalism unifies all previously known QCA constructions associated with the $\mathbb Z_8\times\mathbb Z_2$ subgroup of the Witt group, including the $U(1)_2$ and $U(1)_4$ QCAs. The same algebraic structure directly yields new infinite families of generalized $U(1)_2$ and $U(1)_4$ non-Clifford QCAs in dimensions $d=4k-1$. We also reformulate the 4-dimensional $w_2w_3$ QCA and use it to develop a general construction of QCAs from TQFTs associated with arbitrary products of Wu classes. This construction includes two infinite families. The first consists of $w_2^nw_3^m$ QCAs in dimension $d=2n+3m-1$, while the second consists of $w_2w_{4k-1}$ QCAs in dimension $d=4k$. As a contrasting result, we explicitly construct finite-depth quantum circuits for the 5-dimensional $w_3^2$ and $w_2^3$ QCAs, thereby proving that they are trivial, in agreement with the cobor

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