Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Heterogeneously error-corrected QRAMs
Ansh Singal, Kaitlin N. Smith·Apr 30, 2025
Quantum Random Access Memory (QRAM) holds the promise of enabling several large scale applications of quantum computers. However, designing fault tolerant QRAMs for large scale applications is still an open problem due to the poor error and resource ...
Quantum Annealing Algorithms for Estimating Ising Partition Functions
Haowei Li, Zhiyuan Yao, Xingze Qiu·Apr 30, 2025
Estimating partition functions of Ising spin glasses is a cornerstone of statistical physics and computational science, yet it remains classically challenging due to its $\#$P-hard complexity. While Jarzynski's equality offers a theoretical pathway, ...
Spatiotemporal entanglement of the vacuum
Pravin Kumar Dahal, Kieran Hymas·Apr 30, 2025
We demonstrate that the future and left Rindler wedges of Minkowski spacetime are entangled, leading to the Unruh effect. Similarly, the past and right Rindler wedges are also entangled. We propose a protocol to extract this entanglement using two tw...
A note on the quantum Wielandt inequality
Owen Ekblad·Apr 30, 2025
In this note, we prove that the index of primitivity of any primitive unital Schwarz map is at most $2(D-1)^2$, where $D$ is the dimension of the underlying matrix algebra. This inequality was first proved by Rahaman for Schwarz maps which were both ...
Optimal fermion-qubit mappings via quadratic assignment
Mitchell Chiew, Cameron Ibrahim, Ilya Safro +1 more·Apr 30, 2025
Simulation of fermionic systems is one of the most promising applications of quantum computers. It spans problems in quantum chemistry, high-energy physics and condensed matter. Underpinning the core steps of any quantum simulation algorithm, fermion...
Systematically improved potential energy surfaces via sinNN models and sparse grid sampling
Antoine Aerts·Apr 30, 2025
Accurate, global Potential Energy Surfaces (PES) expressed in sum-of-products (SOP) form are a prerequisite for efficient high-dimensional quantum dynamics simulations using the MCTDH method. This work introduces a methodology for constructing such s...
Semiclassical Approach to Quantum Fisher Information
Mahdi RouhbakhshNabati, Daniel Braun, Henning Schomerus·Apr 30, 2025
Quantum sensors driven into the quantum chaotic regime can have dramatically enhanced sensitivity, which, however, depends intricately on the details of the underlying classical phase space. Here, we develop an accurate semiclassical approach that pr...
Preparation Circuits for Matrix Product States by Classical Variational Disentanglement
Refik Mansuroglu, Norbert Schuch·Apr 30, 2025
We study the classical compilation of quantum circuits for the preparation of matrix product states (MPS), which are quantum states of low entanglement with an efficient classical description. Our algorithm represents a near-term alternative to previ...
SPARO: Surface-code Pauli-based Architectural Resource Optimization for Fault-tolerant Quantum Computing
Shuwen Kan, Zefan Du, Chenxu Liu +5 more·Apr 30, 2025
Surface codes represent a leading approach for quantum error correction (QEC), offering a path towards universal fault-tolerant quantum computing (FTQC). However, efficiently implementing algorithms, particularly using Pauli-based computation (PBC) w...
Microwave-activated high-fidelity three-qubit gate scheme for fixed-frequency superconducting qubits
Kui Zhao, Wei Ma, Ziting Wang +5 more·Apr 30, 2025
Scalable superconducting quantum processors require balancing critical constraints in coherence, control complexity, and spectral crowding. Fixed-frequency architectures suppress flux noise and simplify control via all-microwave operations but remain...
Erasure Minesweeper: Exploring Hybrid-Erasure Surface Code Architectures for Efficient Quantum Error Correction
Jason Chadwick, Mariesa Teo, Joshua Viszlai +2 more·Apr 30, 2025
Dual-rail erasure qubits can substantially improve the efficiency of quantum error correction, allowing lower error rates to be achieved with fewer qubits, but each erasure qubit requires $3 \times$ more transmons to implement compared to standard qu...
On the Efficacy of the Peeling Decoder for the Quantum Expander Code
Jefrin Sharmitha Prabhu, Abhinav Vaishya, Shobhit Bhatnagar +3 more·Apr 30, 2025
The problem of recovering from qubit erasures has recently gained attention as erasures occur in many physical systems such as photonic systems, trapped ions, superconducting qubits and circuit quantum electrodynamics. While several linear-time decod...
An unbiased measure over the matrix product state manifold
S. Leontica, Andrew G. Green·Apr 30, 2025
Matrix product states are useful representations for a large variety of naturally occurring quantum states. Studying their typical properties is important for understanding universal behavior, including quantum chaos and thermalization, as well as th...
Simulating quantum collision models with Hamiltonian simulations using early fault-tolerant quantum computers
Kushagra Garg, Zeeshan Ahmed, Subhadip Mitra +1 more·Apr 30, 2025
We develop randomized quantum algorithms to simulate quantum collision models, also known as repeated interaction schemes, which provide a rich framework to model various open-system dynamics. The underlying technique involves composing time evolutio...
On-chip Frequency divider in superconducting quantum circuit
Hui Wang, Chih-Yao Shih, Ching-Yeh Chen +3 more·Apr 30, 2025
Based on the physical process of two-atom simultaneous excitation by single photon, we proposed a frequency dividing scheme in superconducting quantum circuit. The frequency division for a microwave photon consists of two quantum processes: firstly, ...
Capturing Quantum Snapshots from a Single Copy via Mid-Circuit Measurement and Dynamic Circuit
Debarshi Kundu, Avimita Chatterjee, Archisman Ghosh +1 more·Apr 30, 2025
We propose Quantum Snapshot with Dynamic Circuit (QSDC), a hardware-agnostic, learning-driven framework for capturing quantum snapshots: non-destructive estimates of quantum states at arbitrary points within a quantum circuit, which can then be class...
Coherently mitigating boson samplers with stochastic errors
Deepesh Singh, Ryan J. Marshman, N. Walk +3 more·Apr 30, 2025
Sampling experiments provide a viable route to show quantum advantages of quantum devices over classical computers in well-defined computational tasks. However, quantum devices such as boson samplers are susceptible to various errors, including stoch...
PolyQROM: Orthogonal-Polynomial-Based Quantum Reduced-Order Model for Flow Field Analysis
Yu Fang, Cheng Xue, Tai-Ping Sun +10 more·Apr 30, 2025
Quantum computing promises exponential acceleration for fluid flow simulations, yet the measurement overhead required to extract flow features from quantum-encoded flow field data fundamentally undermines this advantage--a critical challenge termed t...
Using quantum annealing to generate test cases for cyber-physical systems
Hugo L. S. Araujo, Xinyi Wang, M. Mousavi +1 more·Apr 30, 2025
Quantum computing has emerged as a powerful tool to efficiently solve computational challenges, particularly in simulation and optimisation. However, hardware limitations prevent quantum computers from achieving the full theoretical potential. Among ...
Extracting average properties of disordered spin chains with translationally invariant tensor networks
Kevin Vervoort, Wei Tang, Nick Bultinck·Apr 29, 2025
We develop a tensor network-based method for calculating disorder-averaged expectation values in random spin chains without having to explicitly sample over disorder configurations. The algorithm exploits statistical translation invariance and works ...