Papers
Live trends in quantum computing research, updated daily from arXiv.
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Realisation of Protected Cat Qutrit via Engineered Quantum Tunnelling
Sangil Kwon, Daisuke Hoshi, Toshiaki Nagase +8 more·Jan 25, 2026
Engineering quantum tunnelling in phase space has emerged as a viable method for creating a protected qubit with biased-noise properties. A promising approach is to combine a Kerr nonlinearity with multi-photon transitions, resulting in a system know...
Holstein Primakoff spin codes for local and collective noise
Sivaprasad Omanakuttan, Tyler Thurtell, Andrew K. Forbes +2 more·Jan 24, 2026
Quantum error correction is essential for fault-tolerant quantum computation, yet most existing codes rely on local control and stabilizer measurements that are difficult to implement in systems dominated by collective interactions. Inspired by spin-...
PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits
Joshua Viszlai, Satvik Maurya, Swamit Tannu +2 more·Jan 24, 2026
Fault-Tolerant Quantum Computing (FTQC) relies on Quantum Error Correction (QEC) codes to reach error rates necessary for large scale quantum applications. At a physical level, QEC codes perform parity checks on data qubits, producing syndrome inform...
Quantum Phase Transitions in the Transverse-Field Ising Model: A Comparative Study of Exact, Variational, and Hardware-Based Approaches
Rudraksh Sharma·Jan 24, 2026
The quantum phase transitions provide a paradigm for studying collective quantum phenomena that are a result of competing non-commuting interactions. This paper will study the ground state properties and quantum critical dynamics of the one-dimension...
Are Quantum Voting Protocols Practical?
Nitin Jha, Abhishek Parakh·Jan 24, 2026
Quantum voting protocols aim to offer ballot secrecy and publicly verifiable tallies using physical guarantees from quantum mechanics, rather than relying solely on computational hardness. This article surveys whether such quantum voting protocols ar...
Bayesian quantum sensing using graybox machine learning
Akram Youssry, Stefan Todd, Patrick Murton +3 more·Jan 24, 2026
Quantum sensors offer significant advantages over classical devices in spatial resolution and sensitivity, enabling transformative applications across materials science, healthcare, and beyond. Their practical performance, however, is often constrain...
Entropic Efficiency of Bayesian Inference Protocols
Nathan Shettell, Alexia Auffèves·Jan 24, 2026
Inference is a versatile tool that underlies scientific discovery, machine learning, and everyday decision-making: it describes how an agent updates a probability distribution as partial information is acquired from multiple measurements, reducing ig...
Experimental investigation of nonclassicality in the simplest scenario via the degrees of freedom of light
João M. M. Gama, Guilherme T. C. Cruz, Massy Khoshbin +3 more·Jan 23, 2026
In this work, we experimentally investigate the classical-light emulation of different notions of nonclassicality in the simplest scenario. We implement this prepare-and-measure scenario involving four preparations and two binary-outcome measurements...
Universal classical and quantum fluctuations in the large deviations of current of noisy quantum systems: The case of QSSEP and QSSIP
Mathias Albert, Denis Bernard, Tony Jin +2 more·Jan 23, 2026
We study the fluctuation statistics of integrated currents in noisy quantum diffusive systems, focusing on the Quantum Symmetric Simple Exclusion and Inclusion Processes (QSSEP/QSSIP). These one-dimensional fermionic (QSSEP) and bosonic (QSSIP) model...
Noise Resilience and Robust Convergence Guarantees for the Variational Quantum Eigensolver
Mirko Legnini, Julian Berberich·Jan 23, 2026
Variational Quantum Algorithms (VQAs) are a class of hybrid quantum-classical algorithms that leverage on classical optimization tools to find the optimal parameters for a parameterized quantum circuit. One relevant application of VQAs is the Variati...
Efficient quantum machine learning with inverse-probability algebraic corrections
Jaemin Seo·Jan 23, 2026
Quantum neural networks (QNNs) provide expressive probabilistic models by leveraging quantum superposition and entanglement, yet their practical training remains challenging due to highly oscillatory loss landscapes and noise inherent to near-term qu...
Certification of quantum properties with imperfect measurements
Leonardo Zambrano, Teodor Parella-Dilmé, Antonio Acín +1 more·Jan 23, 2026
The accurate characterization of quantum systems is essential for the advancement of quantum technologies. In particular, certifying convex functions of quantum states plays a central role in many applications. We present a certification method for e...
The optimal strategy of two-photon interferometric sensing in diverse noise environments
Teng-fei Yan, Zhuo-zhuo Wang, Qi-qi Li +3 more·Jan 23, 2026
Quantum sensing based on two-photon interferometry manifests quantum superiority beyond the classical precision limit. However, this superiority is usually diminished inevitably by the noise. Here, we analyze the sensitivity of two typical two-photon...
Subspace-Confined QAOA with Generalized Dicke States for Multi-Channel Allocation in 5G CBRS Networks
Gunsik Min, Youngjin Seo, Jun Heo·Jan 23, 2026
Efficient spectrum sharing in the Citizens Broadband Radio Service (CBRS) band is essential for maximizing 5G network capacity, particularly when high-traffic base stations require simultaneous access to multiple channels. Standard formulations of th...
Unambiguous randomness from a quantum state
Fionnuala Curran·Jan 22, 2026
Intrinsic randomness is generated when a quantum state is measured in any basis in which it is not diagonal. In an adversarial scenario, we quantify this randomness by the probability that a correlated eavesdropper could correctly guess the measureme...
Exploring Noisy Quantum Thermodynamical Processes via the Depolarizing-Channel Approximation
Jian Li, Xiaoyang Wang, Marcus Huber +2 more·Jan 22, 2026
Noise and errors are unavoidable in any realistic quantum process, including processes designed to reduce noise and errors in the first place. In particular, quantum thermodynamical protocols for cooling can be significantly affected, potentially alt...
Studying energy-resolved transport with wavepacket dynamics on quantum computers
Melody Lee, Roland C. Farrell·Jan 22, 2026
Probing energy-dependent transport in quantum simulators requires preparing states with tunable energy and small energy variance. Existing approaches often study quench dynamics of simple initial states, such as computational basis states, which are ...
Calibration-Conditioned FiLM Decoders for Low-Latency Decoding of Quantum Error Correction Evaluated on IBM Repetition-Code Experiments
Samuel Stein, Shuwen Kan, Chenxu Liu +6 more·Jan 22, 2026
Real-time decoding of quantum error correction (QEC) is essential for enabling fault-tolerant quantum computation. A practical decoder must operate with high accuracy at low latency, while remaining robust to spatial and temporal variations in hardwa...
Exceptional points in Gaussian channels: diffusion gauging and drift-governed spectrum
Frank Ernesto Quintela Rodríguez·Jan 22, 2026
McDonald and Clerk [Phys.\ Rev.\ Research 5, 033107 (2023)] showed that for linear open quantum systems the Liouvillian spectrum is independent of the noise strength. We first make this noise-independence principle precise in continuous time for mult...
Robust Quantum Algorithmic Binary Decision-Making on Displacement Signals
Aishwarya Majumdar, Yuan Liu·Jan 22, 2026
A relevant signal in the quantum domain may manifest as a displacement or a phase shift operator in the bosonic phase space. For a real parameter $β$ embedded in such a displacement operator, the task of determining if $β\in [β_{-th}, β_{+th}]$ for r...