Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Optimizing ZX-diagrams with deep reinforcement learning
Maximilian Nägele, Florian Marquardt·Nov 30, 2023
ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor network simulation, and many more. The utility of ZX-diagrams relies on a ...
SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE
Zhiding Liang, Zhixin Song, Jinglei Cheng +5 more·Nov 29, 2023
In this paper, we explore the integration of parameterized quantum pulses with the contextual subspace method. The advent of parameterized quantum pulses marks a transition from traditional quantum gates to a more flexible and efficient approach to q...
Sachdev-Ye-Kitaev model on a noisy quantum computer
M. Asaduzzaman, Raghav G. Jha, Bharath Sambasivam·Nov 29, 2023
We study the SYK model -- an important toy model for quantum gravity on IBM's superconducting qubit quantum computers. By using a graph-coloring algorithm to minimize the number of commuting clusters of terms in the qubitized Hamiltonian, we find the...
Optimized topological quantum compilation of three-qubit controlled gates in the Fibonacci anyon model: A controlled-injection approach
Abdellah Tounsi, N. Belaloui, Mohamed Messaoud Louamri +2 more·Nov 29, 2023
A method, termed controlled injection, is proposed for compiling three-qubit controlled gates within the non-Abelian Fibonacci anyon model. Building on single-qubit compilation techniques with three Fibonacci anyons, the approach showcases enhanced a...
Bases for optimising stabiliser decompositions of quantum states
Nadish de Silva, Ming Yin, Sergii Strelchuk·Nov 29, 2023
Stabiliser states play a central role in the theory of quantum computation. For example, they are used to encode computational basis states in the most common quantum error correction schemes. Arbitrary quantum states admit many stabiliser decomposit...
Fault-tolerant quantum memory using low-depth random circuit codes
Jon Nelson, Gregory Bentsen, S. Flammia +1 more·Nov 29, 2023
Low-depth random circuit codes possess many desirable properties for quantum error correction but have so far only been analyzed in the code capacity setting where it is assumed that encoding gates and syndrome measurements are noiseless. In this wor...
Dependency-Aware Compilation for Surface Code Quantum Architectures
A. Molavi, Amanda Xu, Swamit S. Tannu +1 more·Nov 29, 2023
Practical applications of quantum computing depend on fault-tolerant devices with error correction. We study the problem of compiling quantum circuits for quantum computers implementing surface codes. Optimal or near-optimal compilation is critical f...
Photoinduced charge-carrier dynamics in a semiconductor-based ion trap investigated via motion-sensitive qubit transitions
Woojun Lee, Daun Chung, Honggi Jeon +8 more·Nov 29, 2023
Ion trap systems built upon microfabricated chips have emerged as a promising platform for quantum computing to achieve reproducible and scalable structures. However, photo-induced charging of materials in such chips can generate undesired stray elec...
Continuous optimization by quantum adaptive distribution search
Kohei Morimoto, Yusuke Takase, K. Mitarai +1 more·Nov 29, 2023
We introduce the quantum adaptive distribution search (QuADS), a quantum continuous optimization algorithm that integrates Grover adaptive search (GAS) with the covariance matrix adaptation evolution strategy (CMA-ES), a classical technique for conti...
Parallel Variational Quantum Algorithms With Gradient-Informed Restart to Speed Up Optimization in the Presence of Barren Plateaus
D. Mastropietro, G. Korpas, V. Kungurtsev +1 more·Nov 29, 2023
Inspired by the Fleming–Viot stochastic process, we propose a parallel implementation with restart of variational quantum algorithms, with the aim of reducing the time spent by the algorithm in barren plateaus where the optimization direction is uncl...
Quantum circuit synthesis via a random combinatorial search
S. Ashhab, F. Yoshihara, Miwako Tsuji +2 more·Nov 29, 2023
We use a random search technique to find quantum gate sequences that implement perfect quantum state preparation or unitary operator synthesis with arbitrary targets. This approach is based on the recent discovery that there is a large multiplicity o...
Adaptive circuit learning of born machine: towards realization of amplitude embedding and quantum data loading
Chun-Tse Li, Hao-Chung Cheng·Nov 29, 2023
Quantum data loading plays a central role in quantum algorithms and quantum information processing. Many quantum algorithms hinge on the ability to prepare arbitrary superposition states as a subroutine, with claims of exponential speedups often pred...
Simulating Quantum Computations on Classical Machines: A Survey
Kieran Young, Marcus Scese, Ali Ebnenasir·Nov 28, 2023
We present a comprehensive study of quantum simulation methods and quantum simulators for classical computers. We first study an exhaustive set of 150+ simulators and quantum libraries. Then, we short-list the simulators that are actively maintained ...
A site-resolved two-dimensional quantum simulator with hundreds of trapped ions
S-A Guo, Y. Wu, J. Ye +16 more·Nov 28, 2023
A large qubit capacity and an individual readout capability are two crucial requirements for large-scale quantum computing and simulation1. As one of the leading physical platforms for quantum information processing, the ion trap has achieved a quant...
qSIEVE: Efficient qLDPC Memory via Systolic Movement in Atom Arrays
Joshua Viszlai, Willers Yang, Sophia Fuhui Lin +4 more·Nov 28, 2023
As quantum machines have scaled up in their number of qubits, significant research has turned towards increasing their fidelity with quantum error correction codes. Although promising results have been shown with the surface code, which only requires...
Elementary quantum recursion schemes that capture quantum polylogarithmic-time computability of quantum functions
T. Yamakami·Nov 27, 2023
Abstract Quantum computing has been studied over the past four decades based on two computational models of quantum circuits and quantum Turing machines. To capture quantum polynomial-time computability, a new recursion-theoretic approach was taken l...
How to Map Linear Differential Equations to Schr\"{o}dinger Equations via Carleman and Koopman-von Neumann Embeddings for Quantum Algorithms
Yuki Ito, Yu Tanaka, Keisuke Fujii·Nov 27, 2023
Solving linear and nonlinear differential equations with large degrees of freedom is an important task for scientific and industrial applications. In order to solve such differential equations on a quantum computer, it is necessary to embed classical...
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training
Hanrui Wang, Yilian Liu, Pengyu Liu +10 more·Nov 27, 2023
Quantum state preparation, a crucial subroutine in quantum computing, involves generating a target quantum state from initialized qubits. Arbitrary state preparation algorithms can be broadly categorized into arithmetic decomposition (AD) and variati...
High-Fidelity Spin Qubit Shuttling via Large Spin-Orbit Interactions
S. Bosco, Ji Zou, Daniel Loss·Nov 27, 2023
Shuttling spins with high fidelity is a key requirement to scale up semiconducting quantum computers, enabling qubit entanglement over large distances and favoring the integration of control electronics on-chip. To decouple the spin from the unavoida...
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers
Hanrui Wang, Pengyu Liu, K. Shao +5 more·Nov 27, 2023
Quantum computing has the potential to solve problems that are intractable for classical systems, yet the high error rates in contemporary quantum devices often exceed tolerable limits for useful algorithm execution. Quantum Error Correction (QEC) mi...