July 8, 2026

Quantum Channel Polynomial Processing

We introduce a quantum algorithmic framework based on probabilistic mixtures of unitary channels that, similar to the framework of quantum singular value transformations, enables the application of arbitrary polynomials of hermitian operators onto arbitrary initial states. We show that our framework supports a flexible tradeoff between sample- and query complexity ranging fr...

Continuous Narrow-Linewidth Superradiance in Waveguide QED

Superradiant lasers promise continuous, narrow-linewidth coherent emission at the bare atomic transition frequency, enabling frequency references of exceptional precision. Recent experiments have advanced the field, but achieving truly continuous operation remains technically challenging. Here we propose an alternative route to an active optical frequency reference with fewe...

Design and Benchmarking of a Quantum Photonic Chip

We present the design and benchmarking of RP000, a quantum photonic processor capable of encoding a quantum system in the degrees of freedom of single photons, based on standard CMOS-compatible manufacturing processes, and working at room temperature. We benchmark it against machine learning tasks, evaluating three quantum-classical architectures of increasing complexity. Ou...

Typical Entanglement of Superpositions

We investigate universal entanglement properties inherent to superpositions of randomized states. We find that an m-fold superposition of typical states may be classified into two distinct entanglement classes via the 2nd Rényi entropy density s_2. The maximally entangled regime is defined by s_2 ~ln(2), for which superposition adds no additional entanglement. Th...

Provable learning separation for predicting time-evolution of quantum many-body systems

Given that quantum computers are naturally suited to simulate the behavior of quantum many-body systems, an immediate question arises: can one formulate physically motivated quantum machine learning (QML) tasks that exhibit learning separations? We address this problem by studying the learnability of quantum many-body dynamics from the perspective of probably approximately c...

Bosonic quantum error-correcting codes with finite stellar rank

Bosonic quantum error correction (QEC) relies on non-Gaussian bosonic encodings whose preparation cost is a central practical constraint. In this work, we use stellar rank as a resource measure to design and benchmark bosonic codes under finite non-Gaussian resources. For fixed cat and Gottesman--Kitaev--Preskill (GKP) code families, we show that finite stellar rank creates...

Bockstein Braiding Statistics Versus Three-Loop Braiding

Braiding statistics of p- and q-dimensional topological excitations is conventionally defined in p+q+2 spatial dimensions. We find a novel statistical process W_N(X,Y)=(Y^(-1)X^(-1))^N(YX)^N for two order-N excitations in p+q+1 dimensions, detecting the Bockstein response Asmileβ(B). This new statistics and fermionic loop statistics exhaust all loop statistic...

Epitaxial single T centres in silicon-on-insulator

Spin-photon interfaces based on silicon quantum emitters offer a scalable platform for quantum computing and networking. However, achieving coherent photon emission remains a primary challenge due to stringent material quality requirements. To overcome this, we utilise high-purity molecular-beam epitaxy (MBE) to epitaxially incorporate single T centres in silicon-on-insulato...

Leveraging Metrologically Useful States in Quantum Reservoir Networks

Interest in using quantum computers for the purpose of predicting chaotic partial differential equations (PDEs) has been growing with the advent of newer low-error quantum computers and robust simulation tools. In this paper, we present a method that utilizes a quantum reservoir network (QRN) to predict latent space representations of the high-dimensional chaotic 1-D Kuramot...

Quantum Probabilistic Local Differential Privacy: Structural Properties and Sample Complexity Bounds

Differential privacy provides a rigorous framework for quantifying privacy leakage in data analysis, while its quantum extensions have become increasingly relevant with the development of quantum computing and quantum machine learning. In this work, we introduce and study quantum probabilistic local differential privacy, a relaxation of quantum local differential privacy in...

Calculating strongly correlated ground states from the non-Markovian dissipative dynamics of Gaussian fermions

We introduce a mapping between the ground state of interacting fermionic Hamiltonians and the non-equilibrium steady state of a purely dissipative open quantum system. Within the framework of third quantization, we map the Fermi-Hubbard Hamiltonian onto Lindblad jump operators acting on Majorana fermions. Remarkably, both hopping and interaction terms map onto jump operators...

Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

Parameterized quantum circuits (PQCs) are increasingly used as policies and value functions in quantum reinforcement learning, yet it remains unclear when and why quantum policies generalize. We give a PAC-Bayesian account in which generalization is governed not by the raw number of circuit parameters, but by the effective dimension of the Fisher geometry induced by the circ...

Machine learning prediction of the convergence criterion for a topological invariant of finite non-Hermitian chains

A topological invariant based on polar-decomposition of matrices correctly captures the topology of finite non-Hermitian chains exhibiting the non-Hermitian skin effect, provided that an appropriate crop-length parameter is chosen. This parameter, which sets the cutoff used in the calculation of the invariant, is usually chosen empirically and becomes especially important ne...

Podcast with Corey O’Meara, Chief Quantum Scientist at E.ON Digital Technology

Yuval Boger interviews Corey O’Meara, Chief Quantum Scientist at E.ON Digital Technology. They discuss how E.ON’s five-person quantum team works with business units to find high-value use cases, especially where classical methods may hit bottlenecks in optimization and machine learning. Corey describes the company’s work on peer-to-peer energy trading and other grid-relat...

Quantum state localization in dipole-dipole interacting disordered networks

We study the localization of excitations in positionally disordered spin or atom networks coupled via the realistic resonant dipole-dipole interaction (RDDI), which does not conform to a simple power law, as the spatial dependence and dissipative character distinguish it from conventional short or long-range models. Despite its partially long-ranged and radiative nature, pos...

A Quantum-HPC Hybrid Workflow for Reaction-Center Electronic Dynamics: Application to a Cytochrome P450-Inspired Iron-Complex Model

We introduce population-transfer dynamics as a practical validation observable for active-space-derived reduced Hamiltonians in multistate reaction-center chemistry. Using a cytochrome P450-inspired Fe-complex model, we construct a reaction-coordinate-dependent effective Hamiltonian from state-averaged complete active-space self-consistent field (SA-CASSCF) calculations, map...

University of Pretoria Establishes UPQuST Research Node under SA QuTI Framework

The University of Pretoria (UP) has launched a new research hub, UP Quantum Science and Technology (UPQuST), after being designated as a national node under the South African Quantum Technology Initiative (SA QuTI). Backed by South Africa's national Department of Science, Technology and Innovation (DSTI), the center is established as one of six nationally funded [...] ...

Pasqal and MegazoneCloud Sign MoU for Neutral-Atom Hardware Deployment in South Korea

Neutral-atom quantum hardware developer Pasqal and South Korean cloud managed service provider MegazoneCloud have executed a Memorandum of Understanding (MoU) to integrate quantum workloads into commercial enterprise infrastructures across South Korea. The non-binding framework outlines the domestic distribution of Pasqal’s hardware layers via MegazoneCloud's managed clou...

Oratomic Secures $300M Series A to Build Fault-Tolerant Quantum Computers via Reconfigurable Neutral-Atom Arrays

Neutral-atom hardware startup Oratomic has launched its public operations following a $300 million Series A funding round. The capitalization cycle was co-led by ARCH Venture Partners, Spark Capital, and Khosla Ventures, with participation from an investment syndicate including Bezos Expeditions, Index Ventures, General Catalyst, Lowercarbon Capital, Bain Capital, Formati...

Alfred University and Classiq Launch Joint Academic Quantum Computing Initiative

Alfred University, the New York State College of Ceramics, and quantum development firm Classiq have announced a joint quantum computing initiative designed to integrate functional hardware-portable software modeling into engineering curricula and energy systems research. The academic collaboration deploys Classiq’s high-level synthesis platform to bypass manual, gate-lev...

MagiQware Secures €575K ($658K USD) Pre-Seed Allocation to Optimize Quantum Magic State Factories via Reinforcement Learning

Delft University of Technology (TU Delft) deep-tech spin-off MagiQware has finalized its pre-seed funding round, reaching a total of €575,000 ($658K USD) in investment capital. Initially launching with a €500K close led by early-stage investment manager LUMO Labs via the TTT.AI programme, the round was expanded to €575K following a subsequent co-investment completion by G...

Heterogeneous Quantum-Classical Workflow Computes Tritium Binding in FLiBe Molten Salts

A research collaboration between Oak Ridge National Laboratory (ORNL), the Cleveland Clinic, and IBM Quantum has completed the first heterogeneous quantum-classical simulation of tritium binding within a liquid inorganic molten salt. Released as a preprint on arXiv by a team including ORNL Section Head Tom Beck, Corporate Research Fellow Al Geist, and Cleveland Clinic sta...

Differentially private quantum sensor networks

Quantum sensing is a promising technology capable of demonstrating clear advantage over comparable classical techniques for precise measurement. One application of quantum sensing is in function estimation, which can be done using a network of entangled quantum sensors, allowing for measurements with greater optimal sensitivity than unentangled sensing protocols. In cases wh...

Unbiased Estimation of Conditional Covariance for Quantum Optomechanics

Continuous measurements can prepare macroscopic mechanical oscillators in conditional quantum states, but their covariance is difficult to verify. The conventional retrodictive estimator assumes a forward--backward covariance symmetry and can be biased, because physical dynamics such as feedback damping reduces the observability of the state from future records. Here, we der...

Geometric obstructions to quadratic time scaling in multiparameter quantum estimation

Unitary encoding of a single parameter provides quadratic enhancement in precision, with the quantum Fisher information scaling quadratically with the encoding time. However, when estimating multiple parameters simultaneously, this fundamental scaling is not guaranteed. Here, we establish a universal geometric obstruction that dictates when multiparameter quantum metrology f...

Attosecond metrology of bright quantum light

Attosecond metrology is the ability to measure ultrafast optical light-wave oscillations, yet its approach has been limited to classical fields. Hence, the influence of the fluctuations of a quantum field on attosecond measurements has remained unexplored. Here, we close this gap by showing that the attosecond streaking measurement of bright quantum light is sensitive to qua...

Radio frequency readout and control of Ge/SiGe hole spin qubits with a global accumulation gate

Hole spin qubits in undoped Ge/SiGe quantum well structures have advanced rapidly in performance and scalability. However, stringent multi-layer patterning and overlay requirements of conventional overlapping-gate devices create a bottleneck for academic proof-of-concept experiments involving few-qubit devices. Here we present fabrication and measurements of Ge/SiGe spin qub...

Enumeration of Laplacian integral and {-1,0,1}-diagonalizable graphs

A graph with Laplacian matrix L is called Laplacian integral if the eigenvalues of L are all integers, and it is called {-1,0,1}-diagonalizable if L has a full set of eigenvectors with entries from {-1,0,1}. We herein develop a structure theorem for both Laplacian integral graphs and {-1,0,1}-diagonalizable graphs of prime order, and combine it with some no...

Composite-Fermion Study of Cavity-Modified Fractional Quantum Hall Excitation Gaps

We investigate how cavity-mediated attractive electron-electron interactions modify the excitation gaps of fractional quantum Hall states within the composite-fermion framework. We compute both the neutral magnetoroton excitation spectrum and the charged excitation gap relevant to transport experiments for the Laughlin ν=1/3 and ν=1/5 states. We consider a spin-polarized...

Determination of thermodynamics from entanglement entropy in the finite-density O(N) model

We nonperturbatively compute Rényi entropies for strip-shaped subregions in the three-dimensional O(4) model at finite density on the lattice. By using a dual variable representation and a tailored worm algorithm, we circumvent the sign problem when sampling the grand canonical ensemble. In the limit of large subregions, we also establish a direct, quantitative relationship...

Chiral Graviton Modes in Non-Abelian lattice Fractional Quantum Hall states

Synthetic quantum matter provides a highly tunable route to fractional quantum Hall physics beyond the constraints of conventional electronic materials. However, previous theoretical studies have mostly focused on their ground state properties. It remains unclear to what extent such platforms could reveal key excitation properties of fractional quantum Hall states. Here, we...

Classical Reversible Computation by Quantum Coherence

Rising energy demand from data-centre and AI applications has renewed interest in reversible computation, where logic need not dissipate heat at every step if information is uncomputed. Implementations have so far been classical: adiabatic CMOS reduces dissipation by slowing charge motion but is still limited by the threshold physics of transistors. Here we propose classical...

Coherence Estimation Beyond the Liouvillian Gap in a Finite Nonequilibrium System

We investigate the estimation of bath-induced coherence in a finite quantum system interacting with thermal reservoirs. Enhancement of coherence estimation is transient and the estimation precision totally disappears at the steady state despite the system retaining finite coherence. By analyzing the full Liouvillian eigenspectrum, we demonstrate that the optimal sensing wind...

On stochastic realism and CP bias in diffractive dissociations

CP bias in proton--antiproton diffractive dissociation can be viewed from several philosophical perspectives, notably stochastic realism and stochastic epistemicism. When combined with the presumption of temporal symmetry, stochastic realism suggests that the laws of physics allow the possibility of thermodynamic antisystems, although whether antisystemic characteristics can...

Quantum decoherence: a study applied to quarkonium-like bound states in strongly interacting matter

We study the quantum decoherence of a bound state interacting with a reservoir of strongly interacting matter within the framework of open quantum systems. The bound state is modeled as a quantum harmonic oscillator whose parameters are tuned to reproduce the root-mean-square radius of J/Ψ particle. The surrounding medium, representing the many degrees of freedom of strong...

Packet Routing for the Quantum Internet

We present a new design for quantum packet routing within the emerging Quantum Internet, highlighting how a little-used feature of Internet Protocol Version 6 (IPv6), namely Extension Headers, can lead to a significant amount of quantumness within the IP layer. Taking a minimalist approach to alterations of established standards, we outline the changes required in order for...

Quantization of the classical Mpemba effect

The Mpemba effect refers to the counterintuitive phenomenon that an initially hot system can freeze faster than an initially warm one. Recent years have brought major advances in both classical and quantum realizations, with the asymmetric bistable potential emerging as the paradigmatic classical benchmark because its mechanism is especially transparent and controllable. Yet...

Hybrid quantum floating-point method for sharp arithmetic

There are several possible ways to encode random variables in a quantum state. The basis encoding of bit strings has paramount importance because it allows to load the values of a random variable through the superposition of corresponding basis states, and to then exploit quantum parallelism in processing algorithms. The basis encoding offers a natural way to represent an un...

Simplified quantum key distribution implementation secure in the presence of state preparation flaws

We present an implementation of a three-state BB84 protocol with time-bin encoding, one decoy state and a simplified measurement scheme that uses passive basis choice. Our system simplifies the state characterization with respect to previous iterations. We also adapt the loss-tolerant method to our protocol, thus dealing with the measured state preparation flaws. We compare...

Quantum Resources and Performance in the Initialization-Free Bernstein-Vazirani Algorithm

Naseri et al. [Phys. Rev. A 106, 062429 (2022); arXiv:2205.13610] studied which quantum resources in initial states are essential for the probabilistic Bernstein-Vazirani (BV) algorithm, defining its performance as the optimal average success probability over all measurements. In this work, we consider a variant of BV algorithm, which is called the initialization-free (IF) B...

QUBO Modeling of Module Learning With Errors: Stability and Scaling in Post-Quantum Cryptography

Lattice-based post-quantum cryptography relies on the hardness of the Learning With Errors (LWE) and Module Learning With Errors (MLWE) problems. This work introduces a constructive framework for encoding small MLWE instances as Quadratic Unconstrained Binary Optimization (QUBO) models suitable for quantum annealing. The formulation jointly represents secret coefficients and...

Universal quantum cloning beyond noncontextual theory

Quantum theory fundamentally forbids the perfect copying of an arbitrary unknown quantum state, according to a principle known as the no-cloning theorem. Nevertheless, it is possible to construct a deterministic quantum map that produces multiple approximate copies of an unknown quantum state. This task is referred to as universal quantum cloning, further facilitating numero...

High-Precision Method for Characterizing Degree of Collimation and Beam Quality for Application in Cold Atom Gravimeter System

Highly collimated laser beam with excellent spatial quality is essential for quantum sensing experiments, where even small residual beam divergence can accumulate over distance and introduce significant systematic errors. In this article, we present the design and detailed characterization of a high precision laser beam collimator developed for a cold-atom Gravimeter system,...

Fixing Divergence in Carleman Linearization via Analytical Continuation

Nonlinear differential equations play a crucial role in modeling a wide range of phenomena, yet their solutions remain notoriously difficult to obtain. With the rapid development of quantum computing, quantum algorithms for efficiently solving such equations are actively being explored. One promising approach is based on Carleman linearization, which transforms nonlinear dif...

Hidden Complex Structure in Quotient-Space Real Quantum Mechanics

Barrios Hita et al. [Phys. Rev. Lett. bf136, 240202 (2026)] argued that quantum mechanics can be formulated over the real numbers by replacing the tensor-product postulate with a quotient-space construction, and concluded that complex numbers are therefore a matter of convenience. We show that the operational content of this construction is not that of a generic real Hi...

Maximal coherence of quantum measurement and the resource theory of sharpness

A resource theory of quantum measurement can be addressed in terms of quantum coherence and measurement sharpness, respectively. The former analyzes the off-diagonal structure of POVM elements in a predetermined basis while the latter analyzes the deviation from trivial, state-independent, measurements. We establish a direct connection between the two resource theories by id...

Enhanced phase estimation with coherently boosted two-mode squeezed beams and its application to optical gyroscopes

Quantum techniques, developed in recent decades, provide new approaches to achieving high-precision measurements beyond the classical bounds. In this paper, we theoretically demonstrate a metrology method for improving the sensitivity of the interferometric optical gyroscope, robust against the loss, by using coherent-light stimulated two-mode squeezed beams as the light sou...

Quantum X Labs Demonstrates Fractional Frequency Stability in Ramsey-CPT Atomic Clock Platform

Quantum hardware developer Quantum X Labs Inc. Ltd. (Nasdaq: QXL) has announced the successful laboratory demonstration of a high-sensitivity atomic clock through its wholly-owned subsidiary, Quantum X Labs Ltd. Built upon the company’s Ramsey Coherent Population Trapping (Ramsey-CPT) interrogation platform, the system achieved a short-term fractional frequency stability...

Quantum’s Latest Real-World Application Is as a Baby Name

Fraunhofer ILT Develops Laser System for 2,000-Qubit Neutral-Atom Quantum Computer

University of Pretoria Expands South Africa’s Quantum Research Capacity

SEALSQ Corp Reports Revenue Up 120% in Preliminary H1 2026 Results

Quantum X Labs Advances Development of Quantum Atomic Clock Technology