Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Ballast Charges for Semiconductor Spin Qubits.
Yujun Choi, J. Nichol, Edwin Barnes·May 22, 2024
Semiconductor spin qubits are an attractive platform for quantum computing, but their performance is degraded primarily by fluctuating electromagnetic environments. We introduce the concept of ballast charges, which are induced charges on the surface...
Reducing Mid-Circuit Measurements via Probabilistic Circuits
Yanbin Chen, Innocenzo Fulginiti, C. Mendl·May 22, 2024
Mid-circuit measurements and measurement-controlled gates are supported by an increasing number of quantum hardware platforms and will become more relevant as an essential building block for quantum error correction. However, mid-circuit measurements...
Dual-Capability Machine Learning Models for Quantum Hamiltonian Parameter Estimation and Dynamics Prediction.
Zheng An, Jiahui Wu, Zidong Lin +3 more·May 22, 2024
Recent advancements in quantum hardware and classical computing simulations have significantly enhanced the accessibility of quantum system data, leading to an increased demand for precise descriptions and predictions of these systems. Accurate predi...
Coded Computing Meets Quantum Circuit Simulation: Coded Parallel Tensor Network Contraction Algorithm
Jin Lee, S. González-García, Zheng Zhang +1 more·May 22, 2024
Parallel tensor network contraction algorithms have emerged as the pivotal benchmarks for assessing the classical limits of computation, exemplified by Google's demonstration of quantum supremacy through random circuit sampling. However, the massive ...
Quantum algorithm for large-scale market equilibrium computation
Po-Wei Huang, P. Rebentrost·May 22, 2024
Classical algorithms for market equilibrium computation such as proportional response dynamics face scalability issues with Internet-based applications such as auctions, recommender systems, and fair division, despite having an almost linear runtime ...
Programmable quantum circuits in a large-scale photonic waveguide array
Yang Yang, R. Chapman, Akram Youssry +4 more·May 22, 2024
Over the past decade, integrated quantum photonic technologies have shown great potential as a platform for studying quantum phenomena and realizing large-scale quantum information processing. Recently, there have been proposals for utilizing wavegui...
Emergence of Navier-Stokes Hydrodynamics in Chaotic Quantum Circuits.
Hansveer Singh, Ewan McCulloch, S. Gopalakrishnan +1 more·May 22, 2024
We construct an ensemble of two-dimensional nonintegrable quantum circuits that are chaotic but have a conserved particle current, and thus a finite Drude weight. The long-wavelength hydrodynamics of such systems is given by the incompressible Navier...
Scalable quantum circuits for exponential of Pauli strings and Hamiltonian simulations
Rohit Sarma Sarkar, Sabyasachi Chakraborty, Bibhas Adhikari·May 22, 2024
In this paper, we design quantum circuits for the exponential of scaled $n$-qubit Pauli strings using single-qubit rotation gates, Hadamard gate, and CNOT gates. A key result we derive is that any two Pauli-string operators composed of identity and $...
An Abstraction Hierarchy Toward Productive Quantum Programming
Olivia Di Matteo, Santiago N'unez-Corrales, Michał Stęchły +2 more·May 22, 2024
The computer industry, with over seven decades of experience to draw on, has shown that to thrive, there must be a community of software engineers that produce the applications users depend on. Supporting those software engineers so they can write co...
On Classical Simulation of Quantum Circuits Composed of Clifford Gates
G. Biswas·May 22, 2024
The Gottesman–Knill theorem asserts that quantum circuits composed solely of Clifford gates can be efficiently simulated classically. This theorem hinges on the fact that Clifford gates map Pauli strings to other Pauli strings, thereby allowing for a...
Nonlinear Spectroscopy via Generalized Quantum Phase Estimation
Ignacio Loaiza, Danial Motlagh, Kasra Hejazi +3 more·May 22, 2024
Response theory has a successful history of connecting experimental observations with theoretical predictions. Of particular interest is the optical response of matter, from which spectroscopy experiments can be modelled. However, the calculation of ...
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
David Kremer, Victor Villar, Hanhee Paik +3 more·May 21, 2024
This paper demonstrates the integration of Reinforcement Learning (RL) into quantum transpiling workflows, significantly enhancing the synthesis and routing of quantum circuits. By employing RL, we achieve near-optimal synthesis of Linear Function, C...
Quantum Positional Encodings for Graph Neural Networks
Slimane Thabet, Mehdi Djellabi, Igor Sokolov +3 more·May 21, 2024
In this work, we propose novel families of positional encodings tailored to graph neural networks obtained with quantum computers. These encodings leverage the long-range correlations inherent in quantum systems that arise from mapping the topology o...
Quantum Algorithms for Nonlinear Dynamics: Revisiting Carleman Linearization with No Dissipative Conditions
Hsuan-Cheng Wu, Jingyao Wang, Xiantao Li·May 21, 2024
In this paper, we explore the embedding of nonlinear dynamical systems into linear ordinary differential equations (ODEs) via the Carleman linearization method. Under dissipative conditions, numerous previous works have established rigorous error bou...
Machine learning of reduced quantum channels on noisy intermediate-scale quantum devices
Giovanni Cemin, Marcel Cech, Erik Weiss +4 more·May 21, 2024
World-wide efforts aim at the realization of advanced quantum simulators and processors. However, despite the development of intricate hardware and pulse control systems, it may still not be generally known which effective quantum dynamics, or channe...
Efficient explicit gate construction of block-encoding for Hamiltonians needed for simulating partial differential equations
N. Guseynov, Xiajie Huang, Nana Liu·May 21, 2024
One of the most promising applications of quantum computers is solving partial differential equations (PDEs). By using the Schrodingerisation technique - which converts non-conservative PDEs into Schrodinger equations - the problem can be reduced to ...
Upper bounding the quantum space complexity for computing class group and principal ideal problem
Iu-Iong Ng·May 21, 2024
In this paper, we calculate the upper bound on quantum space complexity of the quantum algorithms proposed by Biasse and Song (SODA'16) for solving class group computation and the principal ideal problem using the reductions to $S$-unit group computa...
Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits
Jiachen Hu, Tongyang Li, Xinzhao Wang +3 more·May 21, 2024
We systematically investigate quantum algorithms and lower bounds for mean estimation given query access to non-identically distributed samples. On the one hand, we give quantum mean estimators with quadratic quantum speed-up given samples from diffe...
Simulating optically active spin defects with a quantum computer
Jack S. Baker, Pablo Antonio Moreno Casares, Modjtaba Shokrian Zini +5 more·May 21, 2024
There is a pressing need for more accurate computational simulations of the opto-electronic properties of defects in materials to aid in the development of quantum sensing platforms. In this work, we explore how quantum computers could be effectively...
Quantum Computing for Databases: Overview and Challenges
Gongsheng Yuan, Yuxing Chen, Jiaheng Lu +4 more·May 21, 2024
In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showing the power of quantum computing but also constructed the prototype o...