Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Probes of Full Eigenstate Thermalization in Ergodicity-Breaking Quantum Circuits
Gabriel O. Alves, Felix Fritzsch, Pieter W. Claeys·Apr 11, 2025
The eigenstate thermalization hypothesis (ETH) is the leading interpretation in our current understanding of quantum thermalization. Recent results uncovered strong connections between quantum correlations in thermalizing systems and the structure of...
Spin-state energetics of heme-related models with the variational quantum eigensolver
Unathi Skosana, Sthembiso Gumede, Mark Tame·Apr 11, 2025
We present numerical calculations of the energetic separation between different spin states (singlet, triplet and quintet) for a simplified model of a deoxy-myoglobin protein using the variational quantum eigensolver (VQE) algorithm. The goal is to g...
Perturbative distinguishability of black hole microstates from AdS/CFT correspondence
Jiaju Zhang·Apr 11, 2025
We establish direct evidence for the perturbative distinguishability between black hole microstates and thermal states using the AdS/CFT correspondence. In two-dimensional holographic conformal field theories, we obtain the subsystem fidelity and qua...
Downloading many-qubit entanglement from continuous-variable cluster states
Zhihua Han, Hoi-Kwan Lau·Apr 11, 2025
Many-body entanglement is an essential resource for many quantum technologies, but its scalable generation has been challenging on qubit platforms. However, the generation of continuous-variable (CV) entanglement can be extremely efficient, but its u...
End-to-End Demonstration of Quantum Generative Adversarial Networks for Steel Microstructure Image Augmentation on a Trapped-Ion Quantum Computer
Samwel Sekwao, Jason Iaconis, Claudio Girotto +6 more·Apr 11, 2025
Generative adversarial networks (GANs) are a machine learning technique capable of producing high-quality synthetic images. In the field of materials science, when a crystallographic dataset includes inadequate or difficult-to-obtain images, syntheti...
Hybrid quantum optimization in the context of minimizing traffic congestion
J. Villanueva, Gary J. Mooney, Bhaskar Roy Bardhan +3 more·Apr 11, 2025
Traffic optimization on roads is a highly complex problem, with one important aspect being minimization of traffic congestion. By mapping to an Ising formulation of the traffic congestion problem, we benchmark solutions obtained from the Quantum Appr...
Measurement-induced phase transitions in quantum inference problems and quantum hidden Markov models
Sun Woo P. Kim, C. Keyserlingk, A. Lamacraft·Apr 11, 2025
Recently, there is interest in coincident 'sharpening' and 'learnability' transitions in monitored quantum systems. In the latter, an outside observer's ability to infer properties of a quantum system from measurements undergoes a phase transition. S...
Is Productivity in Quantum Programming Equivalent to Expressiveness?
Francini Corrales-Garro, Danny Valerio-Ram'irez, Santiago N'unez-Corrales·Apr 11, 2025
The expressiveness of quantum programming languages plays a crucial role in the efficient and comprehensible representation of quantum algorithms. Unlike classical programming languages, which offer mature and well-defined abstraction mechanisms, qua...
Extrapolation method to optimize linear-ramp QAOA parameters: Evaluation of QAOA runtime scaling
Vanessa Dehn, Martin Zaefferer, Gerhard Hellstern +2 more·Apr 11, 2025
The Quantum Approximate Optimization Algorithm (QAOA) has been suggested as a promising candidate for the solution of combinatorial optimization problems. Yet, whether - or under what conditions - it may offer an advantage compared to classical algor...
IF-QAOA: A Penalty-Free Approach to Accelerating Constrained Quantum Optimization
David Bucher, Jonas Stein, Sebastian Feld +1 more·Apr 11, 2025
Traditional methods for handling (inequality) constraints in the Quantum Approximate Optimization Ansatz (QAOA) typically rely on penalty terms and slack variables, which increase problem complexity and expand the search space. More sophisticated mix...
A Fully Planar Approach to Field-Coupled Nanocomputing: Scalable Placement and Routing Without Wire Crossings
Benjamin Hien, Marcel Walter, S. Hofmann +1 more·Apr 11, 2025
Field-coupled Nanocomputing (FCN) is a class of promising post-CMOS technologies that transmit information through electric or magnetic fields instead of current flow. They utilize basic building blocks called cells, which can form gates that impleme...
Towards a Digital Twin of Noisy Quantum Computers: Calibration-Driven Emulation of Transmon Qubits
Ronny Muller, Maximilian Zanner, Mika Schielein +8 more·Apr 11, 2025
We develop a parametric error model to construct a digital twin of a superconducting transmon qubit device. The model parameters are extracted from hardware calibration data and supplementary benchmarking circuits, providing a dynamic, system-specifi...
Analog Quantum Simulation of Dirac Hamiltonians in Circuit QED Using Rabi Driven Qubits
Gal Gumpel, Jiwon Kang, E. Blumenthal +3 more·Apr 11, 2025
Quantum simulators hold promise for solving many intractable problems. However, a major challenge in quantum simulation, and quantum computation in general, is to solve problems with limited physical hardware. Currently, this challenge is tackled by ...
Quantum Intuition XR: Tangible Quantum Mechanics Using Interactive XR Experience
Jamie Ngoc Dinh, M. Wong, Matthew Brooks +2 more·Apr 11, 2025
Understanding quantum mechanics is inherently challenging due to its counterintuitive principles. Quantum Intuition XR is an interactive, extended reality (XR) experience designed to make quantum concepts tangible. Our system visualizes core principl...
Network requirements for distributed quantum computation
Hugo Jacinto, 'Elie Gouzien, N. Sangouard·Apr 11, 2025
Physical constraints and engineering challenges, including wafer dimensions, classical control cabling, and refrigeration volumes, impose significant limitations on the scalability of quantum computing units. As a result, a modular quantum computing ...
CDJ-Pontryagin Optimal Control for General Continuously Monitored Quantum Systems
Tathagata Karmakar, Andrew N. Jordan·Apr 10, 2025
The Chantasri-Dressel-Jordan (CDJ) stochastic path integral formalism (Chantasri et al. 2013 and 2015) characterizes the statistics of the readouts and the most likely conditional evolution of continuously monitored quantum systems. In our work, we g...
End-to-End Portfolio Optimization with Quantum Annealing
Sai Nandan Morapakula, Sangram Deshpande, Rakesh Yata +3 more·Apr 10, 2025
Hybrid-quantum classical optimization has emerged as a promising direction for addressing financial decision problems under current quantum hardware constraints. In this work we present a practical end-to-end portfolio optimization pipeline that comb...
Estimating the best separable approximation of non-pure spin-squeezed states
Julia Mathé, Ayaka Usui, Otfried Gühne +1 more·Apr 10, 2025
We discuss the estimation of the distance of a given mixed many-body quantum state to the set of fully separable states, applied to the concrete scenario of collective spin states. Concretely, we discuss lower bounds to distances from the set of full...
Locality Implies Complex Numbers in Quantum Mechanics
Tianfeng Feng, Changliang Ren, Vlatko Vedral·Apr 10, 2025
We show that the presented real-number quantum theories, compatible with the independent source assumption, require the inclusion of a nonlocal map. This means that if the independent source assumption holds, in these models, complex-number quantum t...
Systematic Approach to Hyperbolic Quantum Error Correction Codes
Ahmed Adel Mahmoud, Kamal Mohamed Ali, Steven Rayan·Apr 10, 2025
Quantum error correction codes defined on hyperbolic lattices leverage the unique geometric properties of the hyperbolic space to enhance the performance of quantum error correction. By embedding qubits in hyperbolic lattices, these codes achieve hig...