Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Comparative study on compact quantum circuits of hybrid quantum-classical algorithms for quantum impurity models
Rihito Sakurai, Oliver J. Backhouse, George H Booth +2 more·Dec 7, 2023
Predicting the properties of strongly correlated materials is a significant challenge in condensed matter theory. The widely used dynamical mean-field theory faces difficulty in solving quantum impurity models numerically. Hybrid quantum--classical a...
Scalable narrow linewidth high power laser for barium ion optical qubits.
Morteza Ahmadi, T. Dutta, M. Mukherjee·Dec 6, 2023
The linewidth of a laser plays a pivotal role in ensuring the high fidelity of ion trap quantum processors and optical clocks. As quantum computing endeavors scale up in qubit number, the demand for higher laser power with ultra-narrow linewidth beco...
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA
Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu +1 more·Dec 5, 2023
Quantum approximate optimization algorithm (QAOA) is one of the popular quantum algorithms that are used to solve combinatorial optimization problems via approximations. QAOA is able to be evaluated on both physical and virtual quantum computers simu...
The variational quantum eigensolver self-consistent field method within a polarizable embedded framework.
E. Kjellgren, Peter Reinholdt, Aaron Fitzpatrick +6 more·Dec 4, 2023
We formulate and implement the Variational Quantum Eigensolver Self Consistent Field (VQE-SCF) algorithm in combination with polarizable embedding (PE), thereby extending PE to the regime of quantum computing. We test the resulting algorithm, PE-VQE-...
Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat
David Quiroga, Anastasios Kyrillidis·Dec 3, 2023
We propose a non-convex optimization algorithm, based on the Burer-Monteiro (BM) factorization, for the quantum process tomography problem, in order to estimate a low-rank process matrix χ for near-unitary quantum gates. In this work, we compare our ...
Quantum Simulation of Dissipative Energy Transfer via Noisy Quantum Computer
Chin-Yi Lin, Li-Chai Shih, Shin Sun +1 more·Dec 3, 2023
We study whether dissipative energy-transfer dynamics can be simulated on noisy near-term quantum hardware by treating device noise as a calibrated resource rather than purely as an error source. Focusing on a biased exciton dimer, we encode the sing...
Scaling whole-chip QAOA for higher-order ising spin glass models on heavy-hex graphs
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio +2 more·Dec 2, 2023
We show that the quantum approximate optimization algorithm (QAOA) for higher-order, random coefficient, heavy-hex compatible spin glass Ising models has strong parameter concentration across problem sizes from 16 up to 127 qubits for p = 1 up to p =...
Provable bounds for noise-free expectation values computed from noisy samples
S.V. Barron, Daniel J. Egger, Elijah Pelofske +4 more·Dec 1, 2023
Quantum computing has emerged as a powerful computational paradigm capable of solving problems beyond the reach of classical computers. However, today’s quantum computers are noisy, posing challenges to obtaining accurate results. Here, we explore th...
Subspace methods for electronic structure simulations on quantum computers
Mario Motta, William Kirby, I. Liepuoniute +7 more·Nov 30, 2023
Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrödinger equation for a quantum system is projected onto a subspace of the underlying Hilbert space. This projection transforms the Schrödinger ...
Quantum fidelity kernel with a trapped-ion simulation platform
Rodrigo Mart'inez-Pena, Miguel C. Soriano, R. Zambrini·Nov 30, 2023
Quantum kernel methods leverage a kernel function computed by embedding input information into the Hilbert space of a quantum system. However, large Hilbert spaces can hinder generalization capability, and the scalability of quantum kernels becomes a...
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...
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...
Toward a Mølmer Sørensen gate with .9999 fidelity
Reinhold Blümel, A. Maksymov, Ming Li·Nov 27, 2023
Realistic fault-tolerant quantum computing at reasonable overhead requires two-qubit gates with the highest possible fidelity. Typically, an infidelity of ≲10−4 is recommended in the literature. Focusing on the phase-sensitive architecture used in la...
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...
Peptide binding classification on quantum computers
Charles London, Douglas Brown, Wenduan Xu +5 more·Nov 27, 2023
We conduct an extensive study on using near-term quantum computers for a task in the domain of computational biology. By constructing quantum models based on parameterised quantum circuits, we perform sequence classification on a task relevant to the...
Enhancement of nonstabilizerness within indefinite causal order
Yin Mo, Chengkai Zhu, Zhiping Liu +2 more·Nov 27, 2023
In quantum computing, the nonstabilizerness of quantum operations is crucial for understanding and quantifying quantum speedups. In this study, we explore the phenomena of nonstabilizerness of the quantum SWITCH, a novel structure that allows quantum...
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
Hanrui Wang, Pengyu Liu, Yilian Liu +4 more·Nov 27, 2023
Quantum hardware suffers from high error rates and noise, which makes directly running applications on them ineffective. Quantum Error Correction (QEC) is a critical technique towards fault tolerance which encodes the quantum information distributive...
Techniques for learning sparse Pauli-Lindblad noise models
E. Berg, P. Wocjan·Nov 26, 2023
Error-mitigation techniques such as probabilistic error cancellation and zero-noise extrapolation benefit from accurate noise models. The sparse Pauli-Lindblad noise model is one of the most successful models for those applications. In existing imple...
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
Erik Terres Escudero, Danel Arias Alamo, Oier Mentxaka Gómez +1 more·Nov 23, 2023
In the race towards quantum computing, the potential benefits of quantum neural networks (QNNs) have become increasingly apparent. However, Noisy Intermediate-Scale Quantum (NISQ) processors are prone to errors, which poses a significant challenge fo...