Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Towards quantum-centric simulations of extended molecules: sample-based quantum diagonalization enhanced with density matrix embedding theory
Akhil Shajan, Danil S. Kaliakin, Abhishek Mitra +9 more·Nov 15, 2024
Computing ground-state properties of molecules is a promising application for quantum computers operating in concert with classical high-performance computing resources. Quantum embedding methods are a family of algorithms particularly suited to thes...
Measuring Butterfly Velocity in the XY Model on Emerging Quantum Computers
C. McCartney, Eric Chen, Subhayan Roy Moulik·Nov 15, 2024
The butterfly velocity is commonly used to understand information transport properties in quantum dynamical systems and is related to growth of operators. Here we utilise a quantum teleportation based protocol and Riemannian Trust-Region method to es...
Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
Mekena Metcalf, Pablo Andrés-Martínez, Nathan Fitzpatrick·Nov 14, 2024
Data representation in quantum state space offers an alternative function space for machine learning tasks. However, benchmarking these algorithms at a practical scale has been limited by ineffective simulation methods. We develop a quantum kernel fr...
Quantum computing inspired paintings: reinterpreting classical masterpieces
Arianna Crippa, Yahui Chai, Omar Costa Hamido +2 more·Nov 14, 2024
We aim to apply a quantum computing technique to compose artworks. The main idea is to revisit three paintings of different styles and historical periods:''Narciso'', painted circa 1597-1599 by Michelangelo Merisi (Caravaggio),''Les fils de l'homme''...
Efficient quantum simulation of QCD jets on the light front
Wenyang Qian, Meijian Li, Carlos A. Salgado +1 more·Nov 14, 2024
Quark and gluon jets provide one of the best ways to probe the matter produced in ultrarelativistic high-energy collisions, from cold nuclear matter to hot quark-gluon plasma. In this work, we propose a unified framework for efficient quantum simulat...
Non-Variational ADAPT algorithm for quantum simulations
Ho Lun Tang, Yanzhu Chen, P. Biswas +3 more·Nov 14, 2024
We explore a non-variational quantum state preparation approach combined with the ADAPT operator selection strategy in the application of preparing the ground state of a desired target Hamiltonian. In this algorithm, energy gradient measurements dete...
Architectural Patterns for Designing Quantum Artificial Intelligence Systems
Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu +4 more·Nov 14, 2024
Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversarial attacks, and reduce the number of parameters without compromising...
Dual-Space Invariance as a Universal Criterion for Multifractal Critical States
Tong Liu·Nov 13, 2024
In Anderson localization, eigenstates of disordered quantum systems are broadly classified as extended, localized, or critical. Although critical states exhibit multifractal character, a precise and operational criterion for their identification rema...
Proposal for a Bell Test with Entangled Atoms of Different Mass
X. T. Yan, S. Kannan, Y. S. Athreya +2 more·Nov 13, 2024
We propose a Bell test experiment using momentum-entangled atom pairs of different masses, specifically metastable helium isotopes 3He* and 4He*, though the method extends to other atom species. Entanglement is generated via collisions, after which t...
Real-time measurement error mitigation for one-way quantum computation
T. Hartung, Stephan Schuster, J. Zanthier +1 more·Nov 13, 2024
We propose a quantum error mitigation scheme for single-qubit measurement errors, particularly suited for one-way quantum computation. Contrary to well established error mitigation methods for circuit-based quantum computation, that require to run th...
Encodings of the weighted MAX k-CUT problem on qubit systems
Franz G. Fuchs, R. P. Bassa, Frida Lien·Nov 13, 2024
The weighted MAX k -CUT problem involves partitioning a weighted undirected graph into k subsets, or colors, to maximize the sum of the weights of edges between vertices in different subsets. This problem has significant applications ...
Classical Preoptimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications.
J. W. Mullinax, P. Anastasiou, Jeffrey Larson +2 more·Nov 12, 2024
The ADAPT-VQE algorithm is a promising method for generating a compact ansatz based on derivatives of the underlying cost function, and it yields accurate predictions of electronic energies for molecules. In this work, we report the implementation an...
Trapped-ion quantum simulation of the Fermi-Hubbard model as a lattice gauge theory using hardware-aware native gates
Dhruv Srinivasan, Alex Beyer, Daiwei Zhu +8 more·Nov 12, 2024
The Fermi-Hubbard model (FHM) is a simple yet rich model of strongly interacting electrons with complex dynamics and a variety of emerging quantum phases. These properties make it a compelling target for digital quantum simulation. Trotterization-bas...
Quantum homotopy analysis method with quantum-compatible linearization for nonlinear partial differential equations
Cheng Xue, Xiao-Fan Xu, Xi-Ning Zhuang +8 more·Nov 11, 2024
Nonlinear partial differential equations (PDEs) are crucial for modeling complex fluid dynamics and are foundational to many computational fluid dynamics (CFD) applications. However, solving these nonlinear PDEs is challenging due to the vast computa...
Efficient Classical Computation of Single-Qubit Marginal Measurement Probabilities to Simulate Certain Classes of Quantum Algorithms
S. Y. Pradata, ’Anin N. ’Azhiim, Hendry M. Lim +1 more·Nov 11, 2024
Classical simulations of quantum circuits are essential for verifying and benchmarking quantum algorithms, particularly for large circuits, where computational demands increase exponentially with the number of qubits. Among available methods, the cla...
New random compiler for Hamiltonians via Markov Chains
B. Dubus, Joseph Cunningham, Jérémie Roland·Nov 10, 2024
Many quantum algorithms, such as adiabatic algorithms (e.g. AQC) and phase randomisation, require simulating Hamiltonian evolution. In addition, the simulation of physical systems is an important objective in its own right. In many cases, the Hamilto...
Opportunities and Challenges of Solid-State Quantum Nonlinear Optics
Abhinav Kala, David Sharp, Minho Choi +7 more·Nov 10, 2024
Nonlinear interactions between single quantum particles are at the heart of any quantum information system, including analog quantum simulation and fault-tolerant quantum computing. This remains a particularly difficult problem for photonic qubits, a...
Analysis of the confinement string in (2 + 1)-dimensional Quantum Electrodynamics with a trapped-ion quantum computer
Arianna Crippa, Karl Jansen, Enrico Rinaldi·Nov 8, 2024
Compact lattice Quantum Electrodynamics is a complex quantum field theory with dynamical gauge and matter fields and it has similarities with Quantum Chromodynamics, in particular asymptotic freedom and confinement. We consider a (2+1)-dimensional la...
String Breaking in the Heavy Quark Limit with Scalable Circuits
Anthony N. Ciavarella·Nov 8, 2024
Quantum simulations of non-Abelian gauge theories require efficient mappings onto quantum computers and practical state preparation and measurement procedures. A truncation of the Hilbert space of non-Abelian lattice gauge theories with matter in the...
Towards quantum computing Feynman diagrams in hybrid qubit-oscillator devices
S. Varona, S. Saner, O. Buazuavan +3 more·Nov 7, 2024
We show that recent experiments in hybrid qubit-oscillator devices that measure the phase-space characteristic function of the oscillator via the qubit can be seen through the lens of functional calculus and path integrals, drawing a clear analogy wi...