Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Braiding Majoranas in a linear quantum dot-superconductor array: Mitigating the errors from Coulomb repulsion and residual tunneling
Sebastian Miles, Francesco Zatelli, A. Mert Bozkurt +2 more·Jan 27, 2025
Exchanging the positions of two non-Abelian anyons transforms between many-body wavefunctions within a degenerate ground-state manifold. This behavior is fundamentally distinct from fermions, bosons and Abelian anyons. Recently, quantum dot-supercond...
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Ying Chen, Paul Griffin, Paolo Recchia +2 more·Jan 27, 2025
Recovery rate prediction plays a pivotal role in bond investment strategies by enhancing risk assessment, optimizing portfolio allocation, improving pricing accuracy, and supporting effective credit risk management. However, accurate forecasting rema...
Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models
V. Vijendran, Dax Enshan Koh, Eunok Bae +3 more·Jan 27, 2025
The Quantum Approximate Optimisation Algorithm (QAOA) is a hybrid quantum-classical algorithm for solving combinatorial optimisation problems. QAOA encodes solutions into the ground state of a Hamiltonian, approximated by a $p$-level parameterised qu...
Crosstalk analysis in single hole-spin qubits within highly anisotropic g-tensors
Yaser Hajati, Irina Heinz, G. Burkard·Jan 27, 2025
Spin qubits based on valence band hole states are highly promising for quantum information processing due to their strong spin-orbit coupling and ultrafast operation speed. As these systems scale up, achieving high-fidelity single-qubit operations be...
Analog QAOA with Bayesian optimisation on a neutral atom QPU
Simone Tibaldi, Lucas Leclerc, D. Vodola +2 more·Jan 27, 2025
This study explores the implementation of the Quantum Approximate Optimisation Algorithm (QAOA) in its analog form using a neutral atom quantum processing unit to solve the Maximum Independent Set problem. Our QAOA protocol leverages the natural enco...
Quantum binary field multiplication with subquadratic Toffoli gate count and low space-time cost
Vivien Vandaele·Jan 27, 2025
Multiplication over binary fields is a crucial operation in quantum algorithms designed to solve the discrete logarithm problem for elliptic curve defined over $GF(2^n)$. In this paper, we present an algorithm for constructing quantum circuits that p...
Remarks on controlled measurement and quantum algorithm for calculating Hermitian conjugate
E. B. Fel'dman, A. Zenchuk, Wentao Qi +1 more·Jan 27, 2025
We present two new aspects for the recently proposed algorithms for matrix manipulating based on the special encoding the matrix elements into the superposition state of a quantum system. First aspect is the controlled measurement which allows to avo...
Quantum frequency resampling
Emanuele Tumbiolo, Simone Roncallo, Chiara Macchiavello +1 more·Jan 27, 2025
In signal processing, resampling algorithms can modify the number of resources encoding a collection of data points. Downsampling reduces the cost of storage and communication, while upsampling interpolates new data from limited one, e.g., when resiz...
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
Zhiyuan Wang, Chunlin Feng, Christopher Poon +5 more·Jan 27, 2025
Quantum computing promises advantages over classical computing. The manufacturing of quantum hardware is in the infancy stage, called the Noisy Intermediate-Scale Quantum (NISQ) era. A major challenge is automated quantum circuit design that map a qu...
Eigenstate solutions of the Fermi-Hubbard model via symmetry-enhanced variational quantum eigensolver
Shaohui Yao, Wenyu Wang·Jan 27, 2025
The Variational Quantum Eigensolver (VQE), as a hybrid quantum-classical algorithm, is an important tool for effective quantum computing in the current noisy intermediate-scale quantum (NISQ) era. However, the traditional hardware-efficient ansatz wi...
Harnessing CUDA-Q’s MPS for Tensor Network Simulations of Large-Scale Quantum Circuits
Gabin Schieffer, Stefano Markidis, Ivy Bo Peng·Jan 27, 2025
Quantum computer simulators are an indispensable tool for prototyping quantum algorithms and verifying the functioning of existing quantum computer hardware. The current largest quantum computers feature more than one thousand qubits, challenging the...
Certifying entanglement dimensionality by $k$-reduction moments
Changhao Yi, Xiaodi Li, Huangjun Zhu·Jan 26, 2025
In this paper, we combine the k-reduction map, the moment method, and the classical shadow method into a practical protocol for certifying the entanglement dimensionality. Our approach is based on the observation that a state with entanglement dimens...
Expressivity Limits of Quantum Reservoir Computing
Nils-Erik Schutte, Niclas Gotting, Hauke Muntinga +16 more·Jan 26, 2025
We investigate the fundamental expressivity limits of quantum reservoir computing (QRC) by establishing a formal connection to parametrized quantum circuit quantum machine learning (PQC-QML). We analytically prove, and numerically corroborate, that i...
Improving the accuracy of the tree-tensor network approach by optimization of network structure
T. Hikihara, Hiroshi Ueda, Kouichi Okunishi +2 more·Jan 26, 2025
Numerical methods based on tensor networks have been extensively explored in the research of quantum many-body systems in recent years. It has been recognized that the ability of tensor networks to describe a quantum many-body state crucially depends...
Exponential Improvement on Asian Option Pricing Through Quantum Preconditioning Methods
Gumaro Rendon, Rutuja Kshirsagar, Q. Tran·Jan 26, 2025
In this work, we present a quantum algorithm designed to solve the differential equation used in the pricing of Asian options, in the framework of the Black-Scholes model. Our approach modifies an existing quantum pre-conditioning method (different f...
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach
S. M. Y. I. Tomal, Abdullah Al Shafin, Debojit Bhattacharjee +2 more·Jan 26, 2025
Recent advances in quantum computing have opened new pathways for enhancing deep learning architectures, particularly in domains characterized by high-dimensional and context-rich data such as natural language processing (NLP). In this work, we prese...
Neural Quantum Embedding via Deterministic Quantum Computation with One Qubit.
Hong-fang Liu, Tak Hur, Shitao Zhang +12 more·Jan 26, 2025
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. ...
QuESat: Satellite-Assisted Quantum Internet for Global-Scale Entanglement Distribution
Huayue Gu, Ruozhou Yu, Zhouyu Li +2 more·Jan 26, 2025
Entanglement distribution across remote distances is critical for many quantum applications. Currently, the de facto approach for remote entanglement distribution relies on optical fiber for on-the-ground entanglement distribution. However, the fiber...
Ion-Trap Chip Architecture Optimized for Implementation of Quantum Error-Correcting Code
Jeonghoon Lee, Hyeongjun Jeon, Taehyun Kim·Jan 25, 2025
We propose a scalable trapped-ion quantum-computing architecture that efficiently incorporates quantum error correction. The chip design exploits orthogonal qubit connectivity by assigning horizontal trap regions to transversal logical gates and vert...
Construction of new type of CNOT gate using cross-resonance pulse in the transmon-PPQ system
Jeongsoo Kang, Younghun Kwon·Jan 25, 2025
The transmon, known for its fast operation time and the coherence time of tens of microseconds, is the most commonly used qubit for superconducting quantum processors. However, it is still necessary to enhance the coherence time and the gate fidelity...