Rail Vision Ltd. Subsidiary, Quantum Transportation, Unveils Transformer Neural Decoder with Enhanced Error Suppression Capabilities
Quantum Transportation, a subsidiary of Rail Vision Ltd., unveiled a transformer‑based neural decoder called the Deep Quantum Error Correction Transformer (DQECCT) on February 5, 2026. The code‑agnostic system outperforms classical algorithms such as Minimum‑Weight Perfect Matching in simulations, delivering higher decoding accuracy and efficiency across surface, color, bicycle and product codes. It leverages masking layers derived from parity‑check matrices and a combined loss function that optimizes logical error rate, bit error rate, and noise‑estimation error. Rail Vision also hints at long‑term applications of the technology to boost its railway‑safety data analytics.
Quantum Simulations Become Twice As Efficient with New Error-Correction Technique
Researchers at Yonsei University and the Korea Institute for Advanced Study unveiled a dual‑channel multi‑product formula that dramatically improves Trotter error scaling in product‑formula quantum simulations. The method halves the circuit depth required for a target precision, cutting the number...
Quantum Computing’s Entanglement Costs Finally Quantified for Key Operations
Researchers Richard Cleve and Alex May introduced two universal lower‑bound techniques that quantify the entanglement cost of non‑local quantum computation. Their methods yield the first non‑trivial bounds for Haar‑random two‑qubit unitaries and for widely used gates such as CNOT, DCNOT,...
AI Pinpoints Quantum States with Unprecedented Accuracy From Noisy Signals
Researchers at Tohoku, NIMS and Osaka Universities introduced a U‑Net‑based segmentation model to analyse spin‑readout signals from semiconductor qubits. The fully convolutional architecture handles variable‑length traces and delivers point‑wise transition probabilities, outperforming traditional thresholding in noisy environments. Evaluations on simulated...
New Encryption Method Withstands Attacks From Both Computers and Artificial Intelligence
Researchers introduced Eidolon, a post‑quantum digital signature scheme built on the NP‑complete k‑colourability problem. By extending zero‑knowledge protocols and using Merkle‑tree commitments, the scheme compresses signatures from O(t n) to O(t log n). Empirical tests against integer‑linear‑programming, DSatur, and a custom graph neural...
Quantum Error Correction Gets a Speed Boost for Future Computers
Researchers at Fujitsu’s Quantum Laboratory have introduced early‑stopping techniques—bounded‑cluster gap and extra‑cluster gap—to accelerate soft‑output evaluation in cluster‑based quantum error‑correction decoders. The bounded‑cluster gap reduces computational scaling from O(d²·⁸⁸) to roughly O(d²·³¹), while the extra‑cluster gap integrates seamlessly with existing...
Quantum Computing Speeds up Genome Mapping, Unlocking Faster Disease Diagnosis
Researchers from IIT and IBM have unveiled a hybrid quantum‑classical workflow that accelerates de novo genome assembly by reformulating Hamiltonian and Eulerian path problems as a Higher‑Order Binary Optimisation (HOBO) task solved with the Variational Quantum Eigensolver (VQE). The approach integrates...
Quantum Simulation Cuts Error in Complex Materials Modelling to Below 1 Per Cent
Researchers at Louisiana State University introduced a symmetry‑adapted variational quantum eigensolver (VQE) to solve the Anderson Impurity Model within dynamical mean‑field theory. Using a four‑site bath discretization, the method delivered ground‑state energies with relative errors below 0.01 % while employing only...
Physics-Inspired AI Forecasts 3D Changes with Unprecedented Stability
A team from Innsbruck universities unveiled a physics‑guided neural network that borrows the Schrödinger equation to forecast four‑dimensional (3‑D + time) phenomena. The model learns voxel‑wise amplitude, phase and potential fields, forming a complex‑valued wavefunction that is evolved with a differentiable time‑stepper....
Quantum-Inspired AI Distils Complex Data, Boosting Fusion Energy Research
Researchers from Beijing University of Posts and Telecommunications and the Chinese Academy of Sciences have introduced a physics‑informed framework that couples Koopman operator theory with quantum machine learning to compress high‑dimensional tokamak diagnostic data for NISQ processors. Validated on 4,763...
Visual Tool Unlocks Quantum Computing for Engineers and Students Alike
Researchers at Gebze Technical University introduced QuVI, an open‑source quantum circuit simulator built inside NI LabVIEW. The toolkit replaces text‑based quantum code with a visual dataflow interface that maps block diagrams directly to Bloch‑sphere representations. By leveraging LabVIEW queues, QuVI...
New Technique Swiftly Unlocks Key Values for Stronger, More Resilient Materials
Researchers at Chongqing Normal University unveiled the Memory Gradient Method (MGM), a novel algorithm that computes extreme M‑eigenvalues of fourth‑order hierarchically symmetric tensors by recasting the problem as a series of unconstrained optimisation tasks with a shift parameter. The approach...
AI ‘Quorum’ Speeds up Decisions and Boosts Prediction Accuracy to 70.60%
Researchers introduced SQUAD (Scalable Quorum Adaptive Decisions), a novel inference framework that merges early‑exit networks with distributed ensemble learning. Instead of relying on single‑model confidence thresholds, SQUAD uses a quorum‑based voting system that halts computation once a statistically significant consensus...
Quantum Industry Canada Backs 2026 Year of Quantum Security Initiative
Quantum Industry Canada (QIC) has officially joined the global 2026 Year of Quantum Security (YQS2026) initiative, aligning Canada with an international effort to protect digital infrastructure against emerging quantum threats. The program will bring together government, industry, finance and academia...
Deep Photonic Neuromorphic Networks Demonstrate Unsupervised Hebbian Learning Online
University of Texas at Dallas researchers unveiled a fully optical deep photonic neuromorphic network that learns unsupervised, online Hebbian updates using phase‑change material synapses. The system bypasses electronic‑optical‑electronic conversions, delivering 100 % accuracy on a non‑trivial letter‑recognition task on a commercial...
Quantum Signatures Bypass Tricky Quantum Memory with Classical Computing Power
Researchers unveiled a quantum‑digital‑signature protocol that uses classical shadows of random quantum circuits as public keys, eliminating the need for fragile quantum memory. An enhanced state‑certification primitive improves noise tolerance and cuts sample complexity, enabling a proof‑of‑principle signature on a...
Quantum Entanglement Boosts Computer Coordination, Bypassing Speed Limits of Distance
Researchers at Delft Networks and QuTech have shown that shared quantum entanglement can be used to coordinate decisions in distributed systems without any real‑time communication. Their analytical model of a dual‑work optimisation problem proves that entanglement‑assisted routing achieves a Pareto‑superior...
Shows QSVM Generalisation Bounds Under Local Depolarising Noise for NISQ Devices
Researchers Govender and Sinayskiy derived analytical upper and lower bounds on the generalisation performance of quantum kernel‑assisted support vector machines (QSVMs) under local depolarising noise. Their work shows that noise erodes the QSVM margin, a key predictor of how well...
Molecular Clusters Unlock 30 Years of Progress Towards Nanoelectronics
A new review consolidates three decades of experimental work on polyoxometalates (POMs), detailing how their structural variations influence electron transport from thin films to single‑molecule junctions. The authors correlate POM composition, redox states, and electrode linkages with device performance, highlighting...
Quantum Reality Redefined: New Theory Unifies Particle and Light Wave Behaviour
Researchers have reformulated the classical Hamilton‑Jacobi equation as a wave equation, extending de Broglie’s wave‑particle duality to any square‑integrable function. This mathematical bridge yields the Schrödinger equation directly from classical mechanics and shows that many quantum‑mechanical tools—eigenvalue problems, energy‑state expansions—have classical...
Quantum Computer Flaws Mapped with New Roughness Model for Stable Processing
Researchers at Nanoacademic Technologies and McGill University have introduced a quantitative model linking interface roughness to variability in Josephson junctions, a core component of superconducting qubits. By treating Al/AlO interface roughness as a Gaussian random field and applying the Ambegaokar‑Baratoff...
Superconducting Circuits Gain Fine Control with ‘Steering’ Wires for Better Performance
Researchers have introduced a supercurrent‑engineering technique that uses side control wires to sculpt the current density in superconducting thin‑film strips, eliminating edge crowding. By solving the London and Ginzburg‑Landau equations, they demonstrated inverted profiles with edge dips that suppress vortex...
Shows Kibble-Zurek Scaling in Polariton Condensates with Hundreds of Vortex Realizations
Researchers performed single‑shot interferometric measurements on a room‑temperature polariton condensate, capturing hundreds of stochastic vortex realizations. They found the average vortex number scales with pump power following the Kibble‑Zurek freeze‑out prediction for driven‑dissipative systems. Spectral analysis of vortex‑laden states revealed...
Researchers Reveal Faster Enumeration of Hadamard Matrices up to Order
Researchers Bennett, Bright, Nayak and Colinot introduced a dramatically faster enumeration algorithm for quaternionic perfect sequences, extending exhaustive searches for Williamson‑type Hadamard matrices up to order 21—well beyond the previous ceiling of order 13. By exploiting the fact that circulant blocks in...
Shows Orders of Magnitude Runtime Reduction in Quantum Error Mitigation
Researchers led by Raam Uzdin at The Hebrew University have unveiled a quantum error mitigation framework that slashes runtime overhead by orders of magnitude. The method blends virtual noise scaling with a layered architecture, dramatically outpacing traditional zero‑noise extrapolation. Experiments...
Shows Second Law Dynamics of Infinite Quantum Systems with Maximal Entropy Rise
Physicists Walter F. Wreszinski and collaborators have proved a deterministic theorem showing that infinite‑dimensional spin systems evolve toward increasing mean entropy, ultimately reaching a maximal value. By extending the notion of adiabatic transformation to sudden interactions, they formalize the second law for...
Quantum Processor Reveals Rényi-2 Entanglement and Symmetries in Random States
A team from Zhejiang University and SISSA used a superconducting quantum processor to generate approximate Haar‑random states via low‑depth Floquet circuits. By applying a few periodic driving cycles to product states of up to 11 qubits, they created k‑design ensembles...
Shows Noise-Assisted Metastability Drives Lévy Flights and Quantum Escape Dynamics
Researchers present a unifying theoretical framework showing that noise, especially Lévy‑type non‑Gaussian fluctuations, can actively stabilise metastable states in both classical and quantum systems. They derive exact mean residence‑time formulas for particles in smooth potentials, confirming that Lévy noise extends...
Terahertz Microscope Reveals the Motion of Superconducting Electrons
MIT physicists have built a terahertz microscope that squeezes THz light to micron‑scale spots using spintronic emitters and a Bragg mirror, overcoming the diffraction limit. The instrument captured the first direct image of a superfluid plasmon—collective terahertz‑frequency jiggles of superconducting...
Uncovering Hidden Quantum Landscapes
Scientists at the Weizmann Institute have unveiled the Atomic Single Electron Transistor (Atomic SET), a scanning microscope that uses a single atom as a quantum sensor. The device achieves roughly one‑nanometer spatial resolution—about 100 × better than existing probes—and can detect...
Quantum-Inspired Reinforcement Learning Shows Carbon Reduction for AIoT Supply Chains
Researchers introduced a quantum-inspired reinforcement‑learning framework that optimises AIoT‑driven supply chains while cutting carbon emissions, improving inventory control, and enhancing cybersecurity. By modelling the supply network as a controllable spin‑chain, the system balances fidelity, security, and emissions within a multi‑objective...
Shows Four-Partite Star Networks Distinguished by New Multipartite Entanglement Measure
Researchers from Shijiazhuang Tiedao University and Shaanxi Normal University have introduced a thermodynamic‑based family of multipartite entanglement measures called ergotropic‑gap concentratable entanglement. The measure satisfies key axioms such as continuity, majorization monotonicity and monogamy, and can reliably distinguish GHZ from...
Shows Trojan-Resilient NTT Protects Post-Cryptography Against Control and Timing Faults
Researchers introduced a Trojan‑resilient Number Theoretic Transform (NTT) architecture that detects and mitigates control‑flow and timing faults on reconfigurable platforms. Implemented on an Artix‑7 FPGA, the design uses a clock‑cycle counter, control‑status register, and RENO‑based recomputation to correct anomalies. The...
SEALSQ Corp (NASDAQ: LAES) Details Quantum-Resistant Security Vision
SEALSQ Corp unveiled a "root‑to‑quantum" security platform that embeds a hardware Root of Trust into microcontrollers and TPM‑class devices, pairing it with post‑quantum cryptography and a proprietary quantum highway. The solution promises cryptographic agility, enabling seamless updates as quantum threats...
Haiqu Lands Microsoft Veteran Antonio Mei to Drive Quantum OS Development”
Haiqu Software announced that Dr. Antonio Mei, a former Microsoft Quantum leader, has joined as Lead Product Manager to develop its quantum operating system. The company claims its software can cut computational costs by a factor of 100 compared with...
Shows Valley Photonic Crystals Co-Optimise Band Gap and Chern Number Using PSO
Researchers at IIT Bombay and JNCASR introduced a topology‑aware design framework for valley photonic crystals (VPCs). Using a modified particle‑swarm optimisation (PSO) algorithm, they simultaneously maximised the bulk bandgap and the valley Chern number across a six‑dimensional unit‑cell parameter space....
Shows 76% of WSe2 Monolayer Sites Yield Stable Single-Photon Emitters Via AFM Nanoindentation
Researchers have introduced a displacement‑controlled AFM nano‑indentation technique that reliably creates gate‑tuneable single‑photon emitters in monolayer WSe₂ on SiO₂/Si substrates. Indentations deeper than 150 nm generate defect‑bound excitons with ultra‑narrow ≈200 µeV linewidths that persist up to ~120 K. Second‑order autocorrelation confirms true...
Shows Direct Spontaneous Four-Wave Mixing Dominates in Thin Layers for Photon Pairs
Researchers at the Max Planck Institute have shown that direct spontaneous four‑wave mixing (SFWM) in a 10 µm‑thick lithium‑niobate layer outperforms the traditionally favored cascaded second‑harmonic generation followed by parametric down‑conversion. Using a 1030 nm femtosecond pump, they observed quadratic scaling of...
Shows TopoLS Cuts Lattice Surgery Volume by 33% with Topological Transformations
Researchers at the University of Pennsylvania and UC Berkeley unveiled TopoLS, a topological compiler that merges ZX‑diagram optimisations with Monte Carlo tree search to streamline lattice‑surgery compilation. Across diverse benchmarks, TopoLS slashes the space‑time volume needed for quantum error correction by...
Multiverse Computing Celebrates Major Milestone as Foundational Quantum Finance Paper Exceeds 1,000 Academic Citations
Multiverse Computing’s 2019 paper "Quantum Computing for Finance: Overview and Prospects" has now exceeded 1,000 academic citations, placing the firm alongside quantum heavyweights such as IBM and D‑Wave. The work emphasized quantum software for finance rather than hardware, establishing a...
Shows Hybrid Quantum Network Improves Earth Observation Data Classification with Multitask Learning
Researchers at the Technical University of Munich and the German Aerospace Center introduced a hybrid quantum‑classical neural network, MLTQNN, to classify large‑scale Earth observation data. The model combines multitask learning, a location‑weight module, and quantum convolution operations to streamline data...
CNN-Bilstm Shows 99.97% Accuracy Classifying Entanglement with 100 Samples
Researchers from Beijing Normal University and Tsinghua University introduced a CNN‑BiLSTM hybrid that classifies 3‑ and 4‑qubit multipartite entanglement. Using only 100 training samples, the dimensionality‑transforming Architecture 2 reached over 90 % accuracy, while with a full set of 400 000 samples both...
Two-Step S 2 Mechanism Achieves Insight with Vibrational Strong Coupling (VSC) Studies
Researchers used high‑level ab initio coupled‑cluster methods to resolve the mechanism of the nucleophilic substitution of 1‑phenyl‑2‑trimethylsilylacetylene (PTA) with fluoride under vibrational strong coupling (VSC). The calculations confirm a two‑step S_N2 pathway, revealing previously unreported encounter and product complexes and...
Snowball Ising Machine Achieves Faster Combinatorial Optimisation with 3 Key Advances
Researchers at ETH Zurich introduced Snowball, a digital all‑to‑all Ising machine that combines dual‑mode MCMC spin selection with asynchronous updates. The prototype on an AMD Alveo U250 accelerator achieved an eight‑fold reduction in time‑to‑solution versus state‑of‑the‑art Ising hardware on benchmark...
Superconductivity Achieved in Nanowires Via 5.5m/mT Domain Wall Modulation
Researchers showed that aluminium shells on InAs/EuS nanowires become superconducting only when the EuS layer is in a multi‑domain magnetic state. Scanning SQUID magnetometry and low‑temperature transport revealed that a magnetic domain wall can be shifted at roughly 5.5 µm·mT⁻¹ using...
Advances Quantum Belief Propagation with Messages for Symmetric Q-Ary Channels
Researchers have broadened belief propagation with quantum messages (BPQM) from binary to symmetric q‑ary pure‑state channels with circulant Gram matrices. They derived closed‑form recursions based on Gram‑matrix eigenvalues, yielding explicit BPQM unitaries and analytic fidelity bounds independent of the underlying...
FormationQ Announces Joint Program with Cavendish Lab, Powered by IonQ’s Platform
The Cavendish Laboratory at the University of Cambridge and quantum‑software firm FormationQ have launched a joint applied quantum program powered by IonQ’s trapped‑ion platform. The initiative, backed by a $2.5 million investment from FormationQ, will use IonQ Forte’s 32 algorithmic qubits...
Adiabatic Rapid Passage Achieves Low Multiphoton Emission for Quantum Key Distribution
Researchers at IIT Delhi demonstrated that adiabatic rapid passage (ARP) excitation of a negatively charged quantum dot in an elliptical microcavity dramatically lowers multiphoton emission and raises photon indistinguishability. Compared with conventional resonant driving, ARP yields brighter, cleaner single‑photon output....
Future Cars Shielded From Quantum Hacking with Adaptable Security System
Researchers at the University of Oslo have unveiled an adaptive post‑quantum cryptography framework designed for 6G vehicle‑to‑everything (V2X) networks. By predicting short‑term mobility, channel conditions, weather, and message urgency, the system dynamically selects lattice, code, or hash‑based PQC schemes. A...
Infleqtion Advances Scalable Quantum Computing with Faster, More Reliable Qubit Measurements
Infleqtion, in partnership with the University of Wisconsin–Madison, has achieved 99.93 % reliable nondestructive measurement of neutral‑atom qubits by combining precise readout with continuous cooling. The technique eliminates measurement‑induced decoherence, enabling faster computation cycles and more robust error correction. Published in...