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Live trends in quantum computing research, updated daily from arXiv.

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27,548 papers found

Towards End-to-End Quantum Estimation of Non-Hermitian Pseudospectra

Gengzhi Yang, Jiaqi Leng, Xiaodi Wu +1 more·Mar 17, 2026

Non-Hermitian many-body systems can be spectrally unstable, so small perturbations may induce large eigenvalue shifts. The pseudospectrum quantifies this instability and provides a perturbation-robust diagnostic. For inverse-polynomially small $ε$, w...

Quantum Physicsmath.NA

A Scalable Open-Source QEC System with Sub-Microsecond Decoding-Feedback Latency

Junyi Liu, Yi Lee, Yilun Xu +2 more·Mar 17, 2026

Quantum error correction (QEC) is essential for realizing large-scale, fault-tolerant quantum computation, yet its practical implementation remains a major engineering challenge. In particular, QEC demands precise real-time control of a large number ...

Quantum Physicscs.AR

CPDNN quantum channels with qubit output are CPCP

Hyunho Cha·Mar 17, 2026

The resource theory for nonnegativity of quantum amplitudes distinguishes completely positive completely positive (CPCP) quantum channels from the larger and more tractable class of completely positive doubly nonnegative (CPDNN) quantum channels. It ...

Quantum Physics

Efimovian Phonon Production for an Analog Coasting Universe in Bose-Einstein Condensates

Yunfei Xue, Jiabin Wang, Li Chen +2 more·Mar 17, 2026

Efimov effects arise from scale invariance, a fundamental symmetry with universal implications. While spatial Efimov physics has been extensively studied, realizing its temporal counterpart remains challenging, as it requires a dynamical system that ...

cond-mat.quant-gasQuantum Physics

N-Cavity-Magnon Polariton Blockade via Kerr Nonlinearity

Zhe-Qi Yang, Xiao-Yu Bi, Zhi-Rong Zhong·Mar 17, 2026

We theoretically propose a scheme to realize a $n$-cavity-magnon polariton blockade in a cavity-magnon system by utilizing the Kerr nonlinearity. Cavity-magnon polaritons are hybrid quasiparticles formed by the strong coupling between cavity photons ...

Quantum Physics

Geometric phase for an accelerated two-level atom in AdS spacetime

Linghui Qiu, Jialin Zhang, Hongwei Yu·Mar 17, 2026

We have investigated the geometric phase acquired by a uniformly accelerated two-level atom coupled to vacuum fluctuations of a massless conformal scalar field in Anti-de Sitter (AdS) spacetime. Using the open-quantum-system formalism, we calculate t...

Quantum Physicshep-th

Population Annealing as a Discrete-Time Schrödinger Bridge

Masayuki Ohzeki·Mar 17, 2026

We present a theoretical framework that reinterprets Population Annealing (PA) through the lens of the discrete-time Schrödinger Bridge (SB) problem. We demonstrate that the heuristic reweighting step in PA is derived by analytically solving the Schr...

cond-mat.stat-mechQuantum Physicsstat.ML

Qudit Implementation of the Rodeo Algorithm for Quantum Spectral Filtering

Julio Cesar Siqueira Rocha, Rodrigo Alves Dias·Mar 17, 2026

Qudits, the multi-level generalization of qubits, provide a natural extension of the binary paradigm in quantum computation and offer new opportunities to enhance algorithmic performance. Beyond their direct applicability to the simulation of multi-l...

Quantum Physicscond-mat.stat-mechphysics.comp-ph

Monolithic Segmented 3D Ion Trap for Quantum Technology Applications

Abhishek Menon, Michael Straus, George Tomaras +12 more·Mar 17, 2026

Monolithic three-dimensional (3D) Paul traps combine the high-precision microfabrication of two-dimensional (2D) chip traps with the deep trapping potentials and low heating rates characteristic of macroscopic 3D Paul traps, which are typically machi...

Quantum PhysicsAtomic Physics

CSS codes from the Bruhat order of Coxeter groups

Kamil Bradler·Mar 17, 2026

I introduce a method to generate families of CSS codes with interesting code parameters. The object of study is Coxeter groups, both finite and infinite (reducible or not), and a geometrically motivated partial order of Coxeter group elements named a...

Quantum Physicscs.ITMathematical Physics

Summary overview of present state of basic electrostatic field electron emission theory

Richard G. Forbes·Mar 17, 2026

This technical note provides a high-level overview of the present state of basic field electron emission (FE) theory, as suitable for use in the context of technological applications of FE theory. At present there is much theoretical confusion in FE ...

Mesoscale Physicscond-mat.mtrl-sciQuantum Physics

A Perfectly Distributable Quantum-Classical Algorithm for Estimating Triangular Balance in a Signed Edge Stream

Steven Kordonowy, Bibhas Adhikari, Hannes Leipold·Mar 17, 2026

We develop a perfectly distributable quantum-classical streaming algorithm that processes signed edges to efficiently estimate the counts of triangles of diverse signed configurations in the single pass edge stream. Our approach introduces a quantum ...

Quantum PhysicsComplexity

3D tomography of exchange phase in a Si/SiGe quantum dot device

Dylan Albrecht, Sarah Thompson, N. Tobias Jacobson +1 more·Mar 17, 2026

The exchange interaction is a foundational building block for the operation of spin-based quantum processors. Extracting the exchange interaction coefficient $J(\mathbf{V})$, as a function of gate electrode voltages, is important for understanding di...

Mesoscale Physicscs.CVQuantum Physics

Quantum Algorithms to Determine Spin-Resolved Exchange-Correlation Potential for Strongly Correlated Materials

H. Hashim, V. Turkowski, E. Mucciolo·Mar 17, 2026

Accurate exchange-correlation (XC) potentials are essential for density functional theory, yet reliable approximations remain challenging for strongly correlated systems. In this work, we present a quantum algorithmic framework to determine spin-reso...

Physics

Quantum-Enabled Probabilistic Optimal Power Flow with Built-in Differential Privacy

Yuji Cao, Tongxin Li, Yuefei Chen·Mar 17, 2026

Quantum computing has been regarded as a promising approach to accelerate power system optimization. However, challenges such as limited qubits and inherent noise hinder their widespread adoption in power systems. In this paper, we propose a qubit-ef...

Mathematics

Dissipative realization of a quantum distance-based classifier using open quantum walks

Pedro Linck Maciel, Graeme Pleasance, Francesco Petruccione +1 more·Mar 16, 2026

Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general framework for implementing dissipative quantum computation. In this wo...

Quantum Physics

Statistics-governed dynamical scaling in interacting anyonic chains

Xu-Chen Yang, Botao Wang, Jianpeng Liu +3 more·Mar 16, 2026

Particle statistics impose fundamental constraints on nonequilibrium quantum dynamics, yet it remains an open question whether anyonic statistics can lead to emergent dynamical scaling beyond the conventional Bose-Fermi paradigm. Here we investigate ...

cond-mat.quant-gascond-mat.str-elQuantum Physics

Simultaneous amplitude and phase spectroscopy using two-photon interference

Kyle M. Jordan, Yingwen Zhang, Frédéric Bouchard +5 more·Mar 16, 2026

Quantum spectroscopy seeks to probe chemical systems using nonclassical light, which has properties that are qualitatively and quantitatively different than conventional light sources. One promising technique uses intensity-correlated twin beams of l...

Quantum Physicsphysics.optics

Riemannian gradient descent for Hartree-Fock theory

Evgueni Dinvay·Mar 16, 2026

We present a Riemannian optimization framework for Hartree-Fock theory formulated directly in the Sobolev space $H^1$. The orthonormality constraints are interpreted geometrically via infinite-dimensional Stiefel and Grassmann manifolds endowed with ...

Quantum Physics

Taming the expressiveness of neural-network wave functions for robust convergence to quantum many-body states

Dezhe Z. Jin·Mar 16, 2026

Neural networks are emerging as a powerful tool for determining the quantum states of interacting many-body fermionic systems. The standard approach trains a neural-network ansatz by minimizing the mean local energy estimated from Monte Carlo samples...

cond-mat.supr-concond-mat.dis-nnQuantum Physics
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