Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Frequency-tunable microwave quantum light source based on superconducting quantum circuits
Yan Li, Zhiling Wang, Zenghui Bao +7 more·Apr 12, 2023
A nonclassical light source is essential for implementing a wide range of quantum information processing protocols, including quantum computing, networking, communication, and metrology. In the microwave regime, propagating photonic qubits that trans...
A hybrid quantum algorithm to detect conical intersections
Emiel Koridon, Joana Fraxanet, A. Dauphin +3 more·Apr 12, 2023
Conical intersections are topologically protected crossings between the potential energy surfaces of a molecular Hamiltonian, known to play an important role in chemical processes such as photoisomerization and non-radiative relaxation. They are char...
Quantum Multi-Resolution Measurement with application to Quantum Linear Solver
Yoshiyuki Saito, Xinwei Lee, Dong-Qi Cai +1 more·Apr 12, 2023
Quantum computation consists of a quantum state corresponding to a solution, and measurements with some observables. To obtain a solution with an accuracy $\epsilon$, measurements $O(n/\epsilon^2)$ are required, where $n$ is the size of a problem. Th...
High-fidelity dimer excitations using quantum hardware
N. Eassa, J. Gibbs, Zoe Holmes +7 more·Apr 12, 2023
Many-body entangled quantum spin systems exhibit emergent phenomena such as topological quantum spin liquids with distinct excitation spectra accessed in inelastic neutron scattering (INS) experiments. Here we simulate the dynamics of a quantum spin ...
CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning
Keito Kobayashi, N. Singh, Qixuan Cao +8 more·Apr 12, 2023
Extending Moore’s law by augmenting complementary-metal-oxide semiconductor (CMOS) transistors with emerging nanotechnologies (X) has become increasingly important. One important class of problems involve sampling-based Monte Carlo algorithms used in...
Robust Dequantization of the Quantum Singular Value Transformation and Quantum Machine Learning Algorithms
Franccois Le Gall·Apr 11, 2023
Several quantum algorithms for linear algebra problems, and in particular quantum machine learning problems, have been “dequantized” in the past few years. These dequantization results typically hold when classical algorithms can access the data via ...
Sublinear Scaling in Non-Markovian Open Quantum Systems Simulations
M. Cygorek, Jonathan Keeling, B. Lovett +1 more·Apr 11, 2023
While several numerical techniques are available for predicting the dynamics of non-Markovian open quantum systems, most struggle with simulations for very long memory and propagation times, e.g., due to superlinear scaling with the number of time st...
Quantum-enhanced symmetric cryptanalysis for S-AES
A. Moiseevskiy·Apr 11, 2023
Advanced Encryption Standard is one of the most widely used and important symmetric ciphers for today. It well known, that it can be subjected to the quantum Grover's attack that twice reduces its key strength. But full AES attack requires hundreds o...
Factorization of large tetra and penta prime numbers on IBM quantum processor
Ritu Dhaulakhandi, B. K. Behera, F. Seo·Apr 11, 2023
The factorization of large digit integers in polynomial time is a challenging computational task to decipher. The development of Shor’s algorithm sparked a new resolution for solving the factorization problem. However, putting Shor’s algorithm into u...
High-fidelity two-qubit gates of hybrid superconducting-semiconducting singlet-triplet qubits
Maria Spethmann, S. Bosco, A. Hofmann +2 more·Apr 11, 2023
Hybrid systems comprising superconducting and semiconducting materials are promising architectures for quantum computing. Superconductors induce long-range interactions between the spin degrees of freedom of semiconducting quantum dots. These interac...
Static Entanglement Analysis of Quantum Programs
Shangzhou Xia, Jianjun Zhao·Apr 11, 2023
Quantum entanglement plays a crucial role in quantum computing. Entangling information has important implications for understanding the behavior of quantum programs and avoiding entanglement-induced errors. Entanglement analysis is a static code anal...
Statistical Phase Estimation and Error Mitigation on a Superconducting Quantum Processor
N. S. Blunt, Laura Caune, R'obert Izs'ak +2 more·Apr 11, 2023
Quantum phase estimation (QPE) is a key quantum algorithm, which has been widely studied as a method to perform chemistry and solid-state calculations on future fault-tolerant quantum computers. Recently, several authors have proposed statistical alt...
High-fidelity parallel entangling gates on a neutral-atom quantum computer
S. Evered, D. Bluvstein, M. Kalinowski +12 more·Apr 11, 2023
The ability to perform entangling quantum operations with low error rates in a scalable fashion is a central element of useful quantum information processing^ 1 . Neutral-atom arrays have recently emerged as a promising quantum computing platform, fe...
Ensemble fluid simulations on quantum computers
S. Succi, Wael Itani, K. Sreenivasan +1 more·Apr 11, 2023
We discuss the viability of ensemble simulations of fluid flows on quantum computers. The basic idea is to formulate a functional Liouville equation for the probability distribution of the flow field configuration and recognize that, due to its linea...
Unveiling the Non-Abelian Statistics of D(S_{3}) Anyons Using a Classical Photonic Simulator.
Suraj Goel, Matthew Reynolds, Matthew Girling +6 more·Apr 11, 2023
Simulators can realize novel phenomena by separating them from the complexities of a full physical implementation. Here, we put forward a scheme that can simulate the exotic statistics of D(S_{3}) non-Abelian anyons with minimal resources. The qudit ...
Operating with Quantum Integers: An Efficient 'Multiples of' Oracle
Javier Sanchez-Rivero, Daniel Talav'an, J. García-Alonso +2 more·Apr 10, 2023
Quantum algorithms are a very promising field. However, creating and manipulating these kind of algorithms is a very complex task, specially for software engineers used to work at higher abstraction levels. The work presented here is part of a broade...
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network
Zhirui Hu, Youzuo Lin, Qiang Guan +1 more·Apr 10, 2023
Recently, we have been witnessing the scale-up of superconducting quantum computers; however, the noise of quantum bits (qubits) is still an obstacle for real-world applications to leveraging the power of quantum computing. Although there exist error...
Multinucleon structure and dynamics via quantum computing
W. Du, J. Vary·Apr 10, 2023
We propose a framework for computing the structure and dynamics for second-quantized many-nucleon Hamiltonians on quantum computers. We develop an oracle-based Hamiltonian input model that computes the many-nucleon states and nonzero Hamiltonian matr...
High Fidelity Noise-Tolerant State Preparation of a Heisenberg spin-1/2 Hamiltonian for the Kagome Lattice on a 16 Qubit Quantum Computer
W. Silva·Apr 10, 2023
This work describes a method to prepare the quantum state of the Heisenberg spin-1/2 Hamiltonian for the Kagome Lattice in an IBM 16 qubit quantum computer with a fidelity below 1% of the ground state computed via a classical Eigen-solver. Furthermor...
Majorization-based benchmark of the complexity of quantum processors
Alexandre B. Tacla, Nina Machado O'Neill, G. Carlo +2 more·Apr 10, 2023
Here, we propose the use of the majorization-based indicator for quantum computation complexity introduced in Vallejos et al. (Phys. Rev. A 104:012602, 2021) as a tool to benchmark the complexity within reach of quantum processors, when taking into a...