Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
NN-AE-VQE: Neural network parameter prediction on autoencoded variational quantum eigensolvers
Koen J. Mesman, Yinglu Tang, Matthias Moller +2 more·Nov 23, 2024
A longstanding computational challenge is the accurate simulation of many-body particle systems. Especially for deriving key characteristics of high-impact but complex systems such as battery materials and high entropy alloys (HEA). While simple mode...
Towards quantum simulation of lower-dimensional supersymmetric lattice models
E. Mendicelli, D. Schaich·Nov 22, 2024
Supersymmetric models are grounded in the intriguing concept of a hypothetical symmetry that relates bosonic and fermionic particles. This symmetry has profound implications, offering valuable extensions to the Standard Model of particle physics and ...
A Constant Measurement Quantum Algorithm for Graph Connectivity
M. Mansky, Chonfai Kam, Claudia Linnhoff-Popien·Nov 22, 2024
We introduce a novel quantum algorithm for determining graph connectedness using a constant number of measurements. The algorithm can be extended to find connected components with a linear number of measurements. It relies on non-unitary abelian gate...
A hybrid qubit encoding: splitting Fock space into Fermionic and Bosonic subspaces
Francisco Javier del Arco Santos, Jakob S. Kottmann·Nov 21, 2024
Efficient encoding of electronic operators into qubits is essential for quantum chemistry simulations. Most of the methods treat Fermionic degrees of freedom and qubits in a one-to-one fashion, handling their interactions. Alternatively, pairs of ele...
Machine Learning for Arbitrary Single-Qubit Rotations on an Embedded Device
Madhav Narayan Bhat, Marco Russo, Luca P. Carloni +4 more·Nov 20, 2024
Here we present a technique for using machine learning (ML) for single-qubit gate synthesis on field programmable logic for a superconducting transmon-based quantum computer based on simulated studies. Our approach is multi-stage. We first bootstrap ...
Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
Jun Yong Khoo, Chee Kwan Gan, W.-Q. Ding +3 more·Nov 20, 2024
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investigates the performance of QCNNs in comparison to the hardware-efficient...
Improved fluxonium readout through dynamic flux pulsing
Taryn V. Stefanski, Figen Yilmaz, Eugene Y. Huang +5 more·Nov 20, 2024
The ability to perform rapid, high fidelity readout of a qubit state is an important requirement for quantum algorithms and, in particular, for enabling operations such as mid-circuit measurements and measurement-based feedback for error correction s...
A universal framework for the quantum simulation of Yang–Mills theory
Jad C. Halimeh, Masanori Hanada, Shunji Matsuura +3 more·Nov 20, 2024
Quantum computers promise to simulate complex quantum field theories that are intractable for classical computers, potentially revealing new physics in strongly interacting systems. Current approaches for simulating Yang-Mills gauge theories face sig...
D-commuting SYK model: building quantum chaos from integrable blocks
Ping Gao, Han Lin, Cheng Peng·Nov 19, 2024
We construct a new family of quantum chaotic models by combining multiple copies of integrable commuting SYK models. As each copy of the commuting SYK model does not commute with others, this construction breaks the integrability of each commuting SY...
Variational Learning of Integrated Quantum Photonic Circuits via Genetic Algorithm
Hui Zhang, Chengran Yang, Wai-Keong Mok +11 more·Nov 19, 2024
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate‐scale quantum (NISQ) era. Variational learning is a promising avenue that leverages classical optimization techniques to enhance...
Empowering Large Scale Quantum Circuit Development: Effective Simulation of Sycamore Circuits
Venkateswaran Kasirajan, Torey Battelle, Bob Wold·Nov 19, 2024
Simulating quantum systems using classical computing equipment has been a significant research focus. This work demonstrates that circuits as large and complex as the random circuit sampling (RCS) circuits published as a part of Google's pioneering w...
Simulation of Quantum Transduction Strategies for Quantum Networks
Laura d'Avossa, Caitao Zhan, Joaquin Chung +3 more·Nov 18, 2024
The Quantum Internet would likely be composed of diverse qubit technologies that interact through a heterogeneous quantum network. Thus, quantum transduction has been identified as a key enabler of the Quantum Internet. To better study heterogeneous ...
Distributed quantum logic algorithm
Boris Arseniev·Nov 18, 2024
Parallel computation enables multiple processors to execute different parts of a task simultaneously, improving processing speed and efficiency. In quantum computing, parallel gate implementation involves executing gates independently in different re...
Simulating Non-Markovian Quantum Dynamics on NISQ Computers Using the Hierarchical Equations of Motion.
Xiaohan Dan, Eitan Geva, Victor S. Batista·Nov 18, 2024
Quantum computing offers promising new avenues for tackling the long-standing challenge of simulating the quantum dynamics of complex chemical systems, particularly open quantum systems coupled to external baths. However, simulating such nonunitary d...
Mera: Memory Reduction and Acceleration for Quantum Circuit Simulation via Redundancy Exploration
Yuhong Song, E. Sha, Longshan Xu +2 more·Nov 18, 2024
With the development of quantum computing, quantum processor demonstrates the potential supremacy in specific applications, such as Grover's database search and popular quantum neural networks (QNNs). For better calibrating the quantum algorithms and...
Carleman-Fourier Linearization of Complex Dynamical Systems: Convergence and Explicit Error Bounds
Panpan Chen, N. Motee, Qiyu Sun·Nov 18, 2024
This paper presents a Carleman-Fourier linearization method for nonlinear dynamical systems with periodic vector fields involving multiple fundamental frequencies. By employing Fourier basis functions, the nonlinear dynamical system is transformed in...
Schrödingerization based Quantum Circuits for Maxwell's Equation with time-dependent source terms
Chuwen Ma, Shi Jin, Nana Liu +2 more·Nov 17, 2024
The Schr\"odingerisation method combined with the autonomozation technique in \cite{cjL23} converts general non-autonomous linear differential equations with non-unitary dynamics into systems of autonomous Schr\"odinger-type equations, via the so-cal...
Validation tests of Gaussian boson samplers with photon-number resolving detectors
A. Dellios, M. Reid, Peter D Drummond·Nov 17, 2024
An important challenge with the current generation of noisy, large-scale quantum computers is the question of validation. Does the hardware generate correct answers? If not, what are the errors? This issue is often combined with questions of computat...
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson +48 more·Nov 15, 2024
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become possible for quantum algorithmic primitives on hundreds of physical qubi...
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...