
Scientists at the Max Planck Institute introduced an unbiased framework using the two‑particle reduced density matrix (2RDM) to identify superconducting states. By projecting the 2RDM onto symmetry irreducible representations, the method applies the Penrose‑Onsager criterion to determine condensate fraction and symmetry without preset assumptions. Demonstrations on the two‑dimensional Hubbard model with AFQMC and DMRG show finite‑size scaling of the condensate fraction, clear detection of the FFLO phase, and discovery of fragmented condensates featuring both d‑wave singlet and p‑wave triplet pairing. The approach offers direct insight into Cooper‑pair structure across the BCS‑BEC crossover, promising broader applications in correlated quantum materials.
Scientists at the University of Electronic Science and Technology of China introduced a fully parameterized, multi‑objective periodic‑flux‑modulation framework that creates dynamical sweet spots (DSS) for superconducting fluxonium qubits. The approach simultaneously optimizes energy‑relaxation (T₁) and pure‑dephasing (T_φ), delivering a 3‑5×...

Researchers from Fordham and Zhejiang Universities introduced a Differentiable Architecture Search framework that couples a lightweight Classical Noise Layer with quantum circuit design. The hybrid approach jointly optimizes gate selection and noise parameters using gradient descent, delivering higher clean and...

Researchers at Harish‑Chandra Research Institute have shown that quantum state discrimination can surpass the Helstrom limit by employing non‑positive operator‑valued measurements (non‑POVMs). Their method does not require pre‑shared entanglement between the system and an auxiliary, overturning a long‑standing assumption in...

Researchers have proved that a graph state is fully symmetric under particle permutations if and only if the underlying graph is complete. They also show that standard undirected graph‑state constructions cannot produce fully antisymmetric states. By replacing the CZ gate...

The U.S. Department of Defense announced a $15.1 billion cyber budget for fiscal 2026, a sharp increase aimed at countering AI‑driven attacks and the emerging quantum computing threat. The plan prioritizes quantum‑resilient encryption, AI‑native defenses, and rapid cryptographic agility across military...

SpinQ is launching affordable, portable quantum computers for STEM classrooms, aiming to embed hands‑on quantum learning by 2026. Its Gemini series, built on miniaturized NMR technology, offers 2‑plus qubits at a fraction of traditional system costs, accompanied by the SpinQit...

Unisys published a peer‑reviewed study in AIP Advances showing that quantum annealing can effectively address the Capacitated Vehicle Routing Problem (CVRP), a core logistics challenge. The research evaluates commercial quantum annealers across varying problem sizes and constraint densities, demonstrating cost‑reducing...

NVIDIA is lobbying Congress to reauthorize the 2018 National Quantum Initiative (NQI) to keep the United States at the forefront of quantum research. The company highlights the emerging convergence of AI, high‑performance computing, and quantum processors as a catalyst for...

Scientists introduced Physics‑Informed Hybrid Quantum‑Classical Dispatching (PI‑HQCD), a framework that embeds power‑flow equations, storage dynamics, and network topology directly into a quantum optimisation routine. By integrating these physical constraints, the method avoids barren‑plateau issues and scales to larger grid models....

Researchers from the University of Waterloo and NUS uncovered a critical flaw in existing Quantum Key Distribution (QKD) security proofs: they assume perfectly reliable authentication. They introduced a reduction theorem that shows protocols proven secure under ideal authentication remain secure...

Researchers present an improved two‑way continuous‑variable quantum key distribution (CV‑QKD) protocol that explicitly models continuous‑mode optical fields and incorporates finite‑size security analysis. By decomposing signals into temporal modes and applying adaptive shot‑noise normalization, the scheme achieves tighter secret‑key rate estimates....

Researchers at Shenzhen University have unveiled a quantum‑safe key‑exchange protocol that modifies the Anshel‑Anshel‑Goldfeld (AAG) scheme by drawing private keys from Mihailova subgroups of braid groups. The security hinges on the unsolvable membership problem for these subgroups, making the protocol...

Researchers unveiled a functional blockchain prototype that can interchangeably employ three lattice‑based post‑quantum signature schemes—CRYSTALS‑Dilithium, Falcon and Hawk. The single‑node system decouples application logic from the cryptographic layer, allowing seamless algorithm swaps without altering core code. Comprehensive testing measured key...

The new doctoral guide by Darlan Noetzold, Valderi Reis Quietinho Leithardt and co‑authors delivers a comprehensive overview of post‑quantum cryptography, mapping lattice, code, hash‑based, multivariate and isogeny schemes while dissecting the NIST standardisation process. It details the practical hurdles of...

Researchers at the Max Planck Institute have demonstrated autonomous quantum error correction in two spatial dimensions using a quantum cellular automaton. The scheme operates via a time‑independent, translation‑invariant Lindbladian, establishing a noise threshold below which logical errors decay as the...

Oxford researchers Zhu Sun and Zhenyu Cai unveil a folded surface‑code architecture that uses short‑range qubit shuttling to create effective three‑dimensional connectivity on conventional two‑dimensional hardware. The design implements logical Clifford gates and CNOT operations in constant time, eliminating the...

A team of researchers has demonstrated a scalable quantum energy teleportation (QET) protocol that activates local vacuum energy over arbitrary distances. By introducing a hierarchical repeater architecture in the one‑dimensional anisotropic XY model, they shift resource scaling from exponential to...

Researchers led by Rudraksh Sharma present a comparative study of quantum phase transitions in a four‑spin transverse‑field Ising model, using exact diagonalisation, a shallow variational quantum eigensolver (VQE), and execution on real noisy‑intermediate‑scale quantum (NISQ) hardware. The VQE reproduces ground‑state...

Researchers Hannes and Burkard propose a qubit‑to‑qudit entanglement transfer scheme that leverages high‑spin nuclear moments in defect centers. The protocol uses the Ising component of the hyperfine interaction to move entanglement from electron‑spin communication qubits to nuclear‑spin memory qudits without...
Researchers led by Ryan LaRose, Alan Bidart, and Ben DalFavero quantified quantum resource needs for simulating ATP/metaphosphate hydrolysis. They compared eigensolver, Krylov, and phase‑estimation methods, showing heuristic approaches can run on NISQ, MegaQuop, and fault‑tolerant devices. The study introduced Hamiltonian...

Researchers Nakagawa et al. introduce an information‑backflow diagram that unifies entanglement revivals and entropy overshoots within minimal non‑Markovian models. They define a functional NI that integrates only intervals where an information‑like observable increases, providing a single metric for memory effects. The...

Researchers have demonstrated bosonic phases across the superconductor‑insulator transition (SIT) in infinite‑layer samarium nickelate films by fabricating nanopatterned networks. Magnetoresistance oscillations with an h/2e period provide direct evidence of 2e Cooper‑pair transport, revealing two anomalous metallic states—one field‑sensitive and one...
Researchers at the University of Western Australia unveiled DynQ, a dynamic, topology‑agnostic quantum virtual machine that leverages quality‑weighted community detection to partition quantum processors into high‑cohesion, low‑coupling regions. By modeling live calibration data as weighted graphs, DynQ automatically selects execution...

Researchers Zhao, Wang and Zhao introduced a family of multipartite Bell inequalities based on the GHZ state that enable optimal device‑independent randomness certification even when Bell violations are non‑maximal. The new inequalities provide a tighter Holevo‑quantity bound than existing MABK,...

Researchers at the University of Bonn introduced a systematic optimisation framework for Trotter‑Suzuki decompositions, yielding two new schemes at fourth and sixth order that surpass traditional Suzuki and Yoshida methods. By directly minimising the leading error term across a vast...

Scientists have demonstrated that reinforcement learning (RL) can be harnessed to optimise quantum technologies, covering tasks such as state preparation, high‑fidelity gate design, and automated circuit construction. Experimental implementations show RL‑derived control pulses that are up to twice as fast...

Researchers Falco, Falco‑Pomares, and Matthies deliver a rigorous, self‑contained proof of the Grover‑Rudolph state preparation algorithm. They formalize the dyadic probability tree, prove correctness via induction, and present an ancilla‑free circuit using only Ry, X, and CNOT gates. The implementation...

Researchers from Korea Institute of Science and Technology and Yonsei University introduced a universal operational privacy framework for distributed quantum sensing. The framework defines privacy through the experimentally accessible classical Fisher information matrix, making it protocol‑independent and applicable to singular...

Researchers from Tsinghua University and collaborators proved that finding the optimal weight of stabilizer quantum codes is NP‑hard and introduced a linear‑programming (LP) framework that exactly bounds code parameters for systems up to nine qubits. The study fully characterises weight‑3...

Researchers from IBM Quantum, RIKEN, and collaborators have created a GPU‑native implementation of Selected Basis Diagonalisation (SBD) using the Thrust library, achieving up to 40× speedup over traditional CPU code. The matrix‑free design handles configuration spaces of 10⁸–10¹⁰ determinants, reducing...

Researchers Li, Wang, and Huber introduce a global depolarizing‑channel approximation (GDA) to model noise in deep quantum circuits, applying it to the two‑sort algorithmic cooling (TSAC) protocol. The analysis shows that, contrary to noiseless expectations, optimal cooling is achieved with...

Researchers Santalla, Roy, Sierra and colleagues present entanglement hyperlinks (EHLs), an exact mathematical construction that extends the entanglement‑link approximation to fully capture multipartite entanglement entropy in pure quantum states. By applying the inclusion‑exclusion principle, EHLs avoid double‑counting and encode higher‑order...

Researchers led by Piñol et al. demonstrated synthetic quantum unravelings on IBM superconducting‑qubit hardware, using one‑ and two‑qubit circuits to generate distinct quantum trajectories from the same master equation. By measuring variance and von Neumann entropy, they showed that trajectory‑level statistics...

Scientists have introduced autonomous optical alignment methods for satellite‑based entanglement sources, comparing a heuristic algorithm with a reinforcement‑learning (RL) approach. The RL agent achieved an AUC‑max of 0.9119, far surpassing the heuristic's 0.7042, and converged within a 60‑minute operational window....

Scientists have unveiled a protocol that activates genuine multipartite entanglement (GME) using only two copies of biseparable states, a stark improvement over earlier multi‑copy requirements. The method distills bipartite entangled pairs from each copy and recombines them to form a...

A team from the University of Chicago and the Austrian Academy of Sciences demonstrated quantum cellular automata on a dual‑species Rydberg array of rubidium and cesium atoms. By using only static qubit positions and species‑selective global pulses, they generated Bell...

Researchers at Eindhoven University of Technology and the University of Amsterdam have built a 5 × 5 strontium‑tweezer array with a 0.81 µm optical‑tweezer waist. The apparatus uses a two‑stage laser‑cooling sequence to reach atom temperatures near 5 µK and employs eight ultra‑stable continuous‑wave...

SEALSQ Corp (NASDAQ: LAES) will display its post‑quantum cybersecurity portfolio at Tech&Fest 2026 in Grenoble on February 4‑5, highlighting hardware‑based roots of trust. The French subsidiary, SEALSQ France, builds on three decades of secure‑semiconductor expertise inherited from Gemplus and employs nearly 200 staff...

A new ResearchAndMarkets.com report projects the satellite quantum‑internet market to reach $1.82 billion in 2026, up from $1.37 billion in 2025, representing a 32.9% compound annual growth rate. The market is expected to expand to $5.63 billion by 2030 with a sustained 32.6%...

Researchers examined 62 national quantum strategy documents from 20 countries using AI and natural‑language processing. The analysis uncovered twelve dominant topics and shows a clear temporal shift from basic research toward practical applications and commercialization. The study also flags emerging...

Researchers at Georgia Tech introduced LiDMaS, a lightweight density‑matrix modeling framework for fault‑tolerant magic‑state injection in GKP‑encoded photonic qubits. By varying squeezing, loss, and surface‑code distance, they achieved repeat‑until‑success injection success probabilities above 94% with average overhead near one. After...

Researchers from Woodside Energy and IBM demonstrated a quantum‑enhanced failure detection algorithm on IBM's 133‑qubit Heron processor. By projecting sensor data into quantum feature space and applying density‑ratio change‑point detection, the method identified machine anomalies with higher precision than classical...

Researchers introduced MGAHam, a multimodal molecular language model that predicts quantum Hamiltonian matrices directly from SMILES strings. By aligning SMILES with latent geometric representations and applying a modality‑compensation layer, the model reaches a mean absolute error of roughly 7×10⁻⁵, matching...

Researchers Teja and Filip introduced a cavity‑QED protocol that generates binomial‑code photonic states for measurement‑based quantum computation. By leveraging controlled‑phase‑flip operations, atomic rotations and projective measurements, the method creates high‑fidelity cluster and magic states while explicitly modeling photon‑loss via Kraus...

Researchers using inelastic neutron scattering have identified a gapped spin‑excitation spectrum in α‑RuCl₃ at magnetic fields of 8 Tesla and above. The excitations form a broad, largely flat continuum that cannot be explained by conventional magnon‑decay models, pointing instead to fractionalized...

Researchers unveiled a high‑performance crypto‑processor tailored for the FrodoKEM post‑quantum key encapsulation mechanism. The design employs a multiple‑instruction overlapped execution scheme, a reconfigurable parallel multiplier array, and a compact memory‑scheduling strategy. Implemented on an Artix‑7 FPGA, it consumes 13,467 LUTs,...
Researchers at Monash University have engineered a three‑nanometre‑thin Mn₃Sn kagome film that exhibits a genuine three‑dimensional flat electronic band across the full momentum space. The team used molecular‑beam epitaxy and photon‑energy‑dependent ARPES to confirm the band’s existence, demonstrating that quantum...

Korea University researchers introduced a subspace‑confined Quantum Approximate Optimization Algorithm (QAOA) that uses Generalized Dicke state initialization and an intra‑register XY mixer to solve multi‑channel allocation in 5G Citizens Broadband Radio Service (CBRS) networks. By restricting the quantum search to...

Researchers at Karlsruhe Institute of Technology introduced a new metric to evaluate the retargetability of quantum compilers, measuring how easily software can be adapted to diverse quantum hardware. Their user study compared three leading compilers—Tket, Qiskit, and ProjectQ—using six participants...