Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Clifford Perturbation Approximation for Quantum Error Mitigation
Ruiqi Zhang, Yuguo Shao, Fuchuan Wei +3 more·Dec 12, 2024
Quantum error mitigation (QEM) is critical for harnessing the potential of near-term quantum devices. Particularly, QEM protocols can be designed based on machine learning, where the mapping between noisy computational outputs and ideal ones can be l...
High Optical Access Cryogenic System for Rydberg Atom Arrays with a 3000-Second Trap Lifetime
Zhenpu Zhang, T.-W. Hsu, Tingyou Tan +4 more·Dec 12, 2024
We present an optical tweezer array of 87Rb atoms housed in an cryogenic environment that successfully combines a 4-K cryopumping surface, a <50-K cold box surrounding the atoms, and a room-temperature high-numerical-aperture objective lens. We demo...
A Quantum Approximate Optimization Algorithm for Local Hamiltonian Problems
Ishaan Kannan, R. King, Leo Zhou·Dec 12, 2024
Local Hamiltonian Problems (LHPs) are important problems that are computationally QMA-complete and physically relevant for many-body quantum systems. Quantum MaxCut (QMC), which equates to finding ground states of the quantum Heisenberg model, is the...
High Dimensional Quantum Eavesdropping: A Hypothetical Attack on BB84&SSP
Christopher Dunne·Dec 11, 2024
Quantum key distribution algorithms are considered secure because they leverage quantum phenomena to provide security. As such, eavesdroppers can be detected by analyzing the error rate in the shared key obtained by the parties performing the key exc...
Quantum Computing in Corrosion Modeling: Bridging Research and Industry
Juan Manuel Aguiar Hualde, Marek Kowalik, Lian Remme +7 more·Dec 10, 2024
Corrosion presents a major challenge to the longevity and reliability of products across various industries, particularly in the aerospace sector. Corrosion arises from chemical processes occurring on an atomistic scale, which lead to macroscopic deg...
Symmetry verification for noisy quantum simulations of non-Abelian lattice gauge theories
Edoardo Ballini, Julius Mildenberger, Matteo M. Wauters +1 more·Dec 10, 2024
Non-Abelian gauge theories underlie our understanding of fundamental forces of modern physics. Simulating them on quantum hardware is an outstanding challenge in the rapidly evolving field of quantum simulation. A key prerequisite is the protection o...
Robust analog quantum simulators by quantum error-detecting codes
Yingkang Cao, Suying Liu, Haowei Deng +3 more·Dec 10, 2024
Achieving noise resilience is an outstanding challenge in Hamiltonian-based quantum computation. To this end, energy-gap protection provides a promising approach, where the desired quantum dynamics are encoded into the ground space of a penalty Hamil...
AC/DC: Automated Compilation for Dynamic Circuits
Siyuan Niu, Efekan Kokcu, Anupam Mitra +6 more·Dec 10, 2024
Dynamic quantum circuits incorporate mid-circuit measurements and feed-forward operations originally intended to realize Quantum Error Correction. This paradigm has recently been utilized to prepare certain states and long-range entangling gates as w...
Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer.
Kenji Sugisaki, Shutaroh Kanno, Toshinari Itoko +2 more·Dec 10, 2024
Quantum-selected configuration interaction (QSCI) is an approach for quantum chemical calculations using current quantum computers. In conventional QSCI, Slater determinants used for the wave function expansion are sampled by iteratively performing a...
Quantum Error Correction resilient against Atom Loss
Hugo Perrin, Sven Jandura, G. Pupillo·Dec 10, 2024
We investigate quantum error correction protocols for neutral atoms quantum processors in the presence of atom loss. We complement the surface code with loss detection units (LDU) and analyze its performances by means of circuit-level simulations for...
Towards Novel Tunability Schemes for Hybrid Ferromagnetic Transmon Qubits
H. G. Ahmad, R. Ferraiuolo, G. Serpico +12 more·Dec 9, 2024
Flux tuning of qubit frequencies in superconducting quantum processors is fundamental for implementing single and multi-qubit gates in quantum algorithms. Typical architectures involve the use of DC or fast RF lines. However, these lines introduce si...
Optimizing Qubit Mapping with Quasi-Orthogonal Space-Time Block Codes and Quaternion Orthogonal Designs
Valentine Nyirahafashimana, Nurisya Mohd Shah, Umair Abdul Halim +2 more·Dec 9, 2024
This study explores the qubit mapping through the integration of Quasi-Orthogonal Space-Time Block Codes (QOSTBCs) with Quaternion Orthogonal Designs (QODs) in quantum error correction (QEC) frameworks. QOSTBCs have gained prominence for enhancing pe...
Quantum Algorithms for Optimal Power Flow
S. F. Hafshejani, M. Uddin, David Neufeld +2 more·Dec 9, 2024
This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids. We investigate the effectiveness of these quantum algorithms in comparison to classical method...
Quantum Discrete Adiabatic Linear Solver based on Block Encoding and Eigenvalue Separator
Guojian Wu, Fang Gao, Qing Gao +1 more·Dec 9, 2024
Linear system solvers are widely used in scientific computing, with the primary goal of solving linear system problems. Classical iterative algorithms typically rely on the conjugate gradient method. The rise of quantum computing has spurred interest...
Development of neural network-based optimal control pulse generator for quantum logic gates using the GRAPE algorithm in NMR quantum computer
Ebrahim Khaleghian, Arash Fath Lipaei, A. Bahrampour +2 more·Dec 8, 2024
In this paper, we introduce a neural network to generate optimal control pulses for general single-qubit quantum logic gates, within a Nuclear Magnetic Resonance (NMR) quantum computer. By utilizing a neural network, we can efficiently implement any ...
Quantum network tomography of small Rydberg arrays by machine learning
Kaustav Mukherjee, Johannes Schachenmayer, S. Whitlock +1 more·Dec 7, 2024
Configurable arrays of optically trapped Rydberg atoms are a versatile platform for quantum computation and quantum simulation, also allowing controllable decoherence. We demonstrate theoretically, that they also enable proof-of-principle demonstrati...
Local fermion-to-qudit mappings: A practical recipe for four-level systems
Rodolfo Carobene, Stefano Barison, Andrea Giachero +1 more·Dec 7, 2024
In this paper, we present a new set of local fermion-to-qudit mappings for simulating fermionic lattice systems. We focus on the use of multi-level qudits, specifically ququarts. Traditional mappings, such as the Jordan-Wigner transformation (JWT), w...
Universal 2-Local Symmetry-Preserving Quantum Neural Networks for Fermionic Systems
Ge Yan, Kaisen Pan, Ruocheng Wang +3 more·Dec 6, 2024
Simulating quantum many-body systems represents a fundamental challenge where classical machine learning methods are severely bottlenecked by the exponential curse of dimensionality. Variational Quantum Algorithms (VQAs) offer a native paradigm to ta...
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique·Dec 6, 2024
Hybrid Quantum Neural Networks (HQNNs), under the umbrella of Quantum Machine Learning (QML), have garnered significant attention due to their potential to enhance computational performance by integrating quantum layers within traditional neural netw...
Near-optimal pure state estimation with adaptive Fisher-symmetric measurements
C. Vargas, L. Pereira, A. Delgado·Dec 5, 2024
Quantum state estimation is important for various quantum information processes, including quantum communications, computation, and metrology, which require the characterization of quantum states for evaluation and optimization. We present a three-st...