Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fast and Accurate Greenberger-Horne-Zeilinger Encoding Using All-to-All Interactions.
Chao Yin·Jun 14, 2024
The N-qubit Greenberger-Horne-Zeilinger (GHZ) state is an important resource for quantum technologies. We consider the task of GHZ encoding using all-to-all interactions, which prepares the GHZ state in a special case, and is furthermore useful for q...
Phases and phase transition in Grover's algorithm with systematic noise
Sasanka Dowarah, Chuanwei Zhang, V. Khemani +1 more·Jun 14, 2024
While limitations on quantum computation by Markovian environmental noise are well-understood in generality, their behavior for different quantum circuits and noise realizations can be less universal. Here we consider a canonical quantum algorithm - ...
Impact of measurement noise on escaping saddles in variational quantum algorithms
Eriko Kaminishi, Takashi Mori, M. Sugawara +1 more·Jun 14, 2024
Stochastic gradient descent (SGD) is a widely used optimization technique in classical machine learning and the Variational Quantum Eigensolver (VQE). In VQE implementations on quantum hardware, measurement shot noise is inevitable. We analyze how th...
Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm
Linjian Ma, Matthew Fishman, E. Stoudenmire +1 more·Jun 14, 2024
Tensor network contractions are widely used in statistical physics, quantum computing, and computer science. We introduce a method to efficiently approximate tensor network contractions using low-rank approximations, where each intermediate tensor ge...
High-entanglement capabilities for variational quantum algorithms: the Poisson equation case
F. Ayoub, J. Baeder·Jun 14, 2024
The discretized Poisson equation matrix (DPEM) in 1D has been shown to require an exponentially large number of terms when decomposed in the Pauli basis when solving numerical linear algebra problems on a quantum computer. Additionally, traditional a...
Implementation Guidelines and Innovations in Quantum LSTM Networks
Yifan Zhou, C. Xu, Mingi Song +2 more·Jun 13, 2024
The rapid evolution of artificial intelligence has driven interest in Long Short-Term Memory (LSTM) networks for their effectiveness in processing sequential data. However, traditional LSTMs are limited by issues such as the vanishing gradient proble...
Hyperdimensional Quantum Factorization
Prathyush P. Poduval, Zhuowen Zou, Alvaro Velasquez +1 more·Jun 13, 2024
This paper presents a quantum algorithm for efficiently decoding hypervectors, a crucial process in extracting atomic elements from hypervectors - an essential task in Hyperdimensional Computing (HDC) models for interpretable learning and information...
Polynomial Reduction Methods and their Impact on QAOA Circuits
Lukas Schmidbauer, Karen Wintersperger, Elisabeth Lobe +1 more·Jun 13, 2024
Abstraction layers are of paramount importance in software architecture, as they shield the higher-level formulation of payload computations from lower-level details. Since quantum computing (QC) introduces many such details that are often unaccustom...
Bayesian inference of general noise-model parameters from the syndrome statistics of surface codes
Takumi Kobori, S. Todo·Jun 13, 2024
The performance of error correction in the surface code can be enhanced by leveraging the knowledge of the noise model for physical qubits. To provide accurate noise information to the decoder in parallel with quantum computation, an adaptive estimat...
Variational quantum Hamiltonian engineering
Benchi Zhao, Keisuke Fujii·Jun 13, 2024
Estimating the expectation value of a Hamiltonian and performing a Hamiltonian simulation are two fundamental tasks in quantum computation, with their efficiency heavily dependent on the Pauli norm of the Hamiltonian, which sums the absolute values o...
Solving fractional differential equations on a quantum computer: A variational approach
F. Y. Leong, Dax Enshan Koh, Jian Feng Kong +6 more·Jun 13, 2024
We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable cost function incorporating a linear combination of overlap history st...
Elastic scattering on a quantum computer
Muhammad Yusf, Ling Gan, Cameron Moffat +1 more·Jun 13, 2024
Scattering probes the internal structure of quantum systems. We calculate the two-particle elastic scattering phase shift for a short-ranged interaction on a quantum computer. Short-ranged interactions with a large scattering length or shallow bound ...
Python-based DSL for generating Verilog model of Synchronous Digital Circuits
Mandar J. Datar, Dhruva S. Hegde, V. Prasad +8 more·Jun 13, 2024
We have designed a Python-based Domain Specific Language (DSL) for modeling synchronous digital circuits. In this DSL, hardware is modeled as a collection of transactions -- running in series, parallel, and loops. When the model is executed by a Pyth...
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search
Yize Sun, Jiarui Liu, Zixin Wu +2 more·Jun 13, 2024
We introduce SA-DQAS, a novel framework that enhances Differentiable Quantum Architecture Search (DQAS) by integrating a self-attention mechanism, enabling more effective quantum circuit design for variational quantum algorithms. Unlike DQAS, which t...
Investigate the Performance of Distribution Loading with Conditional Quantum Generative Adversarial Network Algorithm on Quantum Hardware with Error Suppression
Anh Pham, Andrew Vlasic·Jun 13, 2024
The study examines the efficacy of the Fire Opal error suppression and AI circuit optimization system integrated with IBM's quantum computing platform for a multi-modal distribution loading algorithm. Using Kullback-Leibler (KL) divergence as a quant...
Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning
Abid Khan, Prateek Vaish, Y. Pang +8 more·Jun 12, 2024
The ability to perform ab initio molecular dynamics simulations using potential energies calculated on quantum computers would allow virtually exact dynamics for chemical and biochemical systems, with substantial impacts on the fields of catalysis an...
Feedback-Based Quantum Algorithm for Constrained Optimization Problems
Salahuddin Abdul Rahman, Özkan Karabacak, Rafael Wisniewski·Jun 12, 2024
The feedback-based algorithm for quantum optimization (FALQON) has recently been proposed to solve quadratic unconstrained binary optimization problems. This paper efficiently generalizes FALQON to tackle quadratic constrained binary optimization (QC...
Gate-based counterdiabatic driving with complexity guarantees
Dyon van Vreumingen·Jun 12, 2024
We propose a general, fully gate-based quantum algorithm for counterdiabatic driving. The algorithm does not depend on heuristics as in previous variational methods, and exploits regularisation of the adiabatic gauge potential to suppress only the tr...
Classical simulability of constant-depth linear-optical circuits with noise
Changhun Oh·Jun 12, 2024
Noise is one of the main obstacles to realizing quantum devices that achieve a quantum computational advantage. A possible approach to minimize the noise effect is to employ shallow-depth quantum circuits since noise typically accumulates as circuit ...
Suppressing Counter-Rotating Errors for Fast Single-Qubit Gates with Fluxonium
D. A. Rower, L. Ding, Helin Zhang +12 more·Jun 12, 2024
Qubit decoherence unavoidably degrades the fidelity of quantum logic gates. Accordingly, realizing gates that are as fast as possible is a guiding principle for qubit control, necessitating protocols for mitigating error channels that become signific...