Kvantify closes €7M round to scale quantum drug‑discovery platform
Kvantify announced the second close of its €7 million funding round, with the European Innovation Council Fund and Denmark’s Delphinus Venture Capital as lead investors. The new capital will fund the rollout of its Qrunch platform, which runs quantum chemistry workloads on existing quantum hardware, and expand partnerships with drug‑discovery firms.
A new theoretical study from the University of Chicago and Argonne National Laboratory pinpoints the microscopic mechanisms that cause surface‑related noise to degrade the quantum coherence of shallow nitrogen‑vacancy (NV) centers in diamond. By coupling density‑functional‑theory surface models with quantum dynamics simulations, the researchers demonstrate that dynamic electron hopping on the surface, rather than static paramagnetic spins, dominates decoherence. They further show that oxygen‑ and nitrogen‑terminated surfaces preserve near‑bulk coherence, whereas hydrogen‑ and fluorine‑terminated surfaces generate strong magnetic noise. The work delivers physics‑based guidelines for engineering quieter diamond surfaces, promising higher‑performance quantum sensors.

Researchers convened the second Toulouse Tensor Workshop to refine a low‑level tensor operation interface, culminating in the formation of the Tensor Algebra Processing Primitives Working Group (TAPP‑WG). The group released a freely available C‑API on GitHub and demonstrated its integration...

Samson Mow, a Bitcoin veteran, explained the recent market plunge, highlighting Bitcoin’s extreme liquidity and 24/7 trading as amplifiers of short‑term downside pressure. He dismissed quantum‑computing threats as speculative while noting forced liquidations accelerated the sell‑off. Mow linked the rally...

Scientists at the University of Shanghai and Peking University have demonstrated a field‑programmable gate array (FPGA) implementation of tensor‑network algorithms using a novel quad‑tile partitioning strategy. The design accelerates infinite time‑evolving block decimation (iTEBD) and higher‑order tensor renormalization group (HOTRG)...

Researchers led by Haruki Emori have introduced a unified framework that extends classical statistical tools—moment‑generating, characteristic, cumulant‑generating, and second characteristic functions—into quantum mechanics. By defining these functions as expectation values over purified states, the framework reproduces quantum expectation values, variances,...

Researchers Jiaqi Yao and Ding Liu introduced a quantum kernel‑based matrix multiplication algorithm (QKMM) that reduces the asymptotic complexity to O(N² log₂ N), a marked improvement over the classical O(N³) bound. The method uses only log₂ N qubits and a gate count of...

Researchers at UCLA introduced ScaLER, a scalable testing framework for quantum error correction that combines targeted fault injection with extrapolation. The tool successfully benchmarked a surface‑code of distance 17 at a physical error rate of 0.0005, delivering a logical error rate...

Researchers identified intrinsic unbalanced group‑velocity dispersion in nonlinear interferometers as a major source of axial resolution loss for undetected‑photon optical coherence tomography (OCT). The dispersion stems from non‑degenerate optical parametric down‑conversion, making physical compensation difficult. By extracting phase from high‑precision...

Researchers introduced a soft‑coded orthogonal subspace method for variational quantum eigensolvers (VQE) that enforces orthogonality via penalty terms rather than circuit constraints. Benchmarked on a 3 × 3 transverse‑field Ising lattice and a 4 × 4 Edwards‑Anderson spin‑glass, the technique achieved ground‑state fidelities equal...

Researchers at Google Quantum AI and Florida State University introduced a weighted sum‑of‑squares (SOS) framework that aligns with the dual of two‑particle reduced density matrix (v2RDM) theory, enabling strict enforcement of particle‑number and spin symmetries. The near‑frustration‑free Hamiltonian representations derived...

Researchers have identified a novel topological orbital piezomagnetic effect in two‑dimensional Dirac quadrupole altermagnets. Applying mechanical strain distorts the Dirac points, forming a “Dirac dipole” that generates magnetization without spin contributions. The phenomenon is captured by two minimal theoretical frameworks—a...

Researchers have measured an unusually large thermal Hall effect in the insulating topological material TlBi₀.₁₅Sb₀.₈₅Te₂, achieving a transverse‑to‑longitudinal thermal conductivity ratio of about 2 % under magnetic fields of 2–8 tesla. The effect persists across a broad temperature window of 50–150 K and...

Simon D. Lentner’s new lecture notes, released on January 31 2026 (arXiv:2602.00651v1), present a categorical construction of Nichols algebras that sidesteps traditional Hopf‑algebra prerequisites. The approach uses concrete examples to show how these algebras generate the representation category of a group and...

Researchers from Longyan and Fuzhou Universities have experimentally demonstrated a quantum phase transition in a driven‑dissipative Kerr‑cat qubit that is induced by a Liouvillian exceptional point (LEP). By tuning the detuning between drive and resonator frequencies, the system switches from...

Researchers have extended the Ising model to arbitrary interaction networks, showing that its transition amplitudes are directly proportional to the hafnian and loop‑hafnian matrix functions. This unifies previously separate links between spin dynamics, Gaussian boson sampling, and #P‑hard counting problems...

Researchers evaluated quantum kernel methods for radar micro‑Doppler classification using IBM's 133‑qubit Torino and 156‑qubit Fez processors. After classical feature extraction and PCA reduction, data were encoded with a fully‑entangled ZZFeatureMap and classified by a quantum support vector machine. The...

Researchers have demonstrated that Andreev spin qubits can be realized in Josephson junctions built from magnetically doped two‑dimensional topological insulators. By introducing magnetic impurities into the helical edge states, electric dipole transitions become allowed, enabling qubit manipulation with microwave pulses....

Researchers at Chalmers University have demonstrated real‑time detection of quasiparticle tunneling in a multi‑qubit superconducting device, achieving single‑hertz background sensitivity with microsecond resolution. Their time‑tagged coincidence analysis revealed uncorrelated individual events and correlated burst episodes occurring roughly once per minute,...

Researchers at ETH Zurich and PSI have directly observed the optical Magnus effect in a single trapped ⁴⁰Ca⁺ ion. By scanning a tightly focused 729 nm laser across the ion, they mapped spin‑dependent transverse displacements of up to several hundred nanometres,...

Quantum decoherence causes bit‑flip and phase‑flip errors that jeopardize calculations, prompting researchers to encode logical qubits across many physical devices using surface‑code stabilizers. A team led by Andreas Wallraff demonstrated lattice surgery on superconducting qubits, splitting a 17‑qubit patch into two...

Researchers at Rochester Institute of Technology unveiled Evolutionary eXploration of Augmenting Quantum Circuits (EXAQC), an automated framework that simultaneously optimizes gate types, qubit connectivity, parameterisation, and circuit depth while respecting hardware limits and noise. The hybrid evolutionary‑variational approach generated quantum...

Researchers at North Carolina State University have introduced a hybrid quantum‑classical framework that predicts electronic circular dichroism (ECD) spectra of chiral molecules using 20–24 qubit circuits. The method combines variational quantum eigensolvers with quantum equation‑of‑motion techniques and matches the accuracy...

A new numerical study examines how adding extra parameters to variational quantum circuits can counteract barren‑plateau effects that stall optimization. Using a 72‑qubit superconducting processor simulator, the researchers mapped energy accuracy across ansatz depth and training epochs for a transverse‑field...

Chiral, a Zurich‑based nanotechnology spin‑off from ETH Zurich and Empa, announced a $12 million seed round led by Crane Venture Partners, with participation from Quantonation, HCVC, Founderful and public funding from Innosuisse. The financing follows a 2024 pre‑seed round and will...

Researchers at Purdue and Johns Hopkins have built an on‑chip silicon pulse‑shaper that functions as a frequency beamsplitter, delivering near‑ideal Hadamard‑gate performance with fidelity above 0.9995 and a modified success probability over 0.9621. The device supports ultra‑narrow 2‑5 GHz channel spacings—a...
Researchers led by Ivan V. Vlassiouk have demonstrated controlled creation of optically active defects in large‑scale chemical vapor deposition (CVD) grown hexagonal boron nitride (hBN). By using suspended hBN films and tuning the energy and type of bombarding particles, they...
Hexagonal boron nitride (hBN) is a promising host for solid‑state quantum emitters, but scalable defect creation in large‑area CVD films has been elusive. Researchers demonstrated that ion, neutron, and electron irradiation can selectively generate negative boron‑vacancy (V_B⁻) defects, with defect...

Enterprises are moving from curiosity to action on post‑quantum cryptography (PQC), launching pilots that often stumble because existing stacks lack support. The article argues that pilot failures are intentional, serving to surface interoperability, skill and inventory gaps before regulatory or...

Researchers derived a summation‑free recurrence relation for the k‑th spectral moment of the Bures‑Hall random matrix ensemble, valid for any real‑valued k. The breakthrough hinges on new Christoffel‑Darboux formulas for the ensemble’s correlation kernels, simplifying calculations that previously required cumbersome...
The QUICHE project, a UK‑Germany partnership funded by Innovate UK and Germany’s ZIM programme, aims to embed quantum chemistry workflows into the widely used ORCA software. The consortium—Quantum Motion, FACCTs, and Riverlane—will develop automated translation of chemical systems into optimized quantum...
Quantum Motion has opened a European subsidiary in San Sebastian, Spain, occupying a 1,500 m² facility in the nanoGUNE Quantum Tower. The new site will develop silicon‑spin qubits and monolithic quantum‑classical chips using 300 mm CMOS wafer lines, emphasizing cryogenic control electronics to...
Infleqtion, together with the University of Chicago and MIT, has entered Phase 3 of the Wellcome Leap Q4Bio Challenge, securing $2 million for a 12‑month validation of quantum‑enabled biomarker discovery. The effort focuses on using the hybrid HRQAOA algorithm to select predictive...

Researchers at Capital Normal University have shown that staggered pairing imbalance in a non‑Hermitian Kitaev chain can dramatically broaden the parameter space supporting topological superconductivity. By jointly tuning the chemical potential and the imbalance, the eigenenergy gap switches from real...

Researchers Swann, Nahum et al. introduced a continuum‑mechanics framework to describe entanglement dynamics in noisy, interacting fermion chains. By applying a semiclassical path‑integral treatment to an effective spin‑chain representation, they obtained exact expressions for the entanglement membrane tension and operator...

Scientists revived Ettore Majorana’s 1932 proposal, showing that any spin‑S quantum state can be represented as a constellation of 2S points on a sphere. The study, led by L. L. Sanchez‑Soto, A. B. Klimov and A. Z. Goldberg, demonstrates how these “Majorana stars” provide geometric insight...

Scientists have assembled a two‑dimensional iron‑dicyanoanthracene metal‑organic framework directly on a bismuth selenide topological‑insulator surface at room temperature, revealing two distinct structural phases. Phase A conforms to a known close‑packed Fe₁DCA₃ lattice, while Phase B displays a larger, previously unreported unit cell...
Researchers at the University of Chicago and West Virginia University demonstrated that thin‑film iron telluride selenide can be transformed into a topological superconductor by precisely adjusting the tellurium‑to‑selenium ratio. The study, published in Nature Communications, shows that changing this ratio...

Researchers have derived an analytical expression for bipartite quantum correlators that applies to arbitrary measurement settings and weak‑measurement strengths, streamlining calculations in generalized star‑network topologies. Using this tool they demonstrated simultaneous violations of network‑nonlocality Bell inequalities in both (2, 2, 6) and...

A recent theoretical study examines tripartite quantum steering—an advanced form of quantum correlation—among three parties situated near a Schwarzschild black hole. By modeling Alice, Bob and Charlie sharing a GHZ state, the researchers classify all six steering configurations and analyze...

The first quarter of 2018 saw quantum computing move from laboratory experiments to strategic initiatives. Google announced a 72‑qubit Bristlecone processor aimed at quantum supremacy, while Intel introduced a 49‑qubit silicon‑spin Tangle Lake chip and Alibaba made an 11‑qubit system...

Researchers at Nanyang Technological University introduced AQER, an Approximate Quantum Encoder with Entanglement Reduction, to address the data‑loading bottleneck in digital quantum computers. By reformulating existing approximate quantum loaders into a unified framework, they derived linear error bounds tied to...

Researchers at Lawrence Berkeley and Oak Ridge National Laboratories have unveiled two new algorithms—independent sampling and greedy search—for efficiently sampling two‑dimensional isometric tensor network states (isoTNS). Both methods extend 1D tensor‑network sampling techniques to 2D while preserving polynomial scaling with...

Researchers from LMU Munich unveiled Quantum Generator Kernels (QGKs), a novel generator‑based approach that compresses and embeds large datasets into the limited qubit space of NISQ devices. QGKs replace static gate‑based embeddings with Variational Generator Groups (VGGs), employing learnable Hamiltonian‑driven...

Researchers introduced half‑qubit Sampled Quantum Diagonalization (HSQD) that halves qubit requirements while preserving accuracy. Demonstrated on nitrogen dissociation (10e, 26o) with 40% fewer measurements and on iron‑sulfur clusters up to (54e, 36o). The HCI‑enhanced version (HCI‑HSQD) yields sub‑millihartree precision, reduces energy errors...

Physicists Yuke Zhang and Pengfei Zhang present a systematic finite‑size scaling analysis of the full eigenstate thermalization hypothesis (full ETH) in quantum spin chains. By decomposing corrections into polynomial energy‑fluctuation terms and exponentially decaying window‑fluctuation terms, they resolve previously observed...

Researchers from the University of Melbourne and Data61 unveiled the Quantum Jacobi‑Davidson (QJD) algorithm and its Sample‑Based variant (SBQJD) for ground‑state energy estimation. Simulations on 8‑, 10‑, and 12‑qubit systems showed markedly faster convergence and fewer Pauli measurements than the Quantum...

Scientists at Harvard and Tampere University have identified a universal "quantum birthmark" that preserves a system's initial conditions even in fully chaotic quantum dynamics. The effect appears as an enhanced long‑time return probability, meaning non‑stationary states revisit their origins more...
Quantum‑technology firms announced a wave of leadership changes in early February 2026. IQM moved to a single‑CEO model with co‑founder Jan Goetz taking the helm and added COO Søren Hein to steer global expansion. IonQ bolstered its senior team by hiring Domenico Di Mola...

Researchers have introduced a framework linking algebraic properties of CSS qLDPC codes to constant‑depth magic‑state fountains. By defining “magic‑friendly triples” of logical X operators with pairwise orthogonality and odd triple overlap, they prove that families containing Ω(n^{1+γ}) such triples enable...

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...