Papers

Nora M. Bauer, Victor Ale, P. Laurell +4 more·Oct 4, 2024

Neutron scattering characterization of materials allows for the study of entanglement and microscopic structure, but is inefficient to simulate classically for comparison to theoretical models and predictions. However, quantum processors, notably ana...

Colin Burdine, Enrique P. Blair·Oct 4, 2024

The simulation of quantum systems is one of the flagship applications of near‐term NISQ (noisy intermediate‐scale quantum) computing devices. Efficiently simulating the rich, non‐unitary dynamics of open quantum systems remains challenging on NISQ ha...

Yue Wu, Namitha Liyanage, Lin Zhong·Oct 4, 2024

Quantum error correction (QEC) is a critical component of FTQC; the QEC decoder is an important part of Classical Computing for Quantum or C4Q. Recent years have seen fast development in real-time QEC decoders. Existing efforts to build real-time dec...

Preeti Pandey, Sourav Manna, K. Frei +8 more·Oct 4, 2024

Since the ground-breaking discovery of the quantum Hall effect, half-quantized quantum Hall plateaus have been some of the most studied and sought-after states. Their importance stems not only from the fact that they transcend the composite fermion f...

Arda Aydin, Alexander Barg·Oct 4, 2024

We construct a general family of quantum codes that protect against all emission, absorption, dephasing, and raising/lowering errors up to an arbitrary fixed order. Such codes are known in the literature as absorption-emission (AE) codes. We derive s...

Senrui Chen, Zhihan Zhang, Liang Jiang +1 more·Oct 4, 2024

Understanding quantum noise is an essential step towards building practical quantum information processing systems. Pauli noise is a useful model that has been widely applied in quantum benchmarking, error mitigation, and error correction. Despite in...

I. Novikau, I. Joseph·Oct 4, 2024

We propose an explicit algorithm based on the Linear Combination of Hamiltonian Simulations technique to simulate both the advection-diffusion equation and a nonunitary discretized version of the Koopman-von Neumann formulation of nonlinear dynamics....

Trung Huynh, G. An, Minsu Kim +2 more·Oct 4, 2024

The variational quantum eigensolver algorithm has gained attentions due to its capability of locating the ground state and ground energy of a Hamiltonian, which is a fundamental task in many physical and chemical problems. Although it has demonstrate...

Kevin Mato, M. Ringbauer, Lukas Burgholzer +1 more·Oct 3, 2024

Quantum computing holds great promise for surpassing the limits of classical devices in many fields. Despite impressive developments, however, current research is primarily focused on qubits. At the same time, quantum hardware based on multi-level, q...

Riddhi S. Gupta, Carolyn E. Wood, T. Engstrom +2 more·Oct 3, 2024

The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical ...

C. Undershute, Joseph M. Kitzman, C. Mikolas +1 more·Oct 3, 2024

Phononic resonators are becoming increasingly important in quantum information science, both for applications in quantum computing, communication and sensing, as well as in experiments investigating fundamental physics. Here, we study the decoherence...

A. Pappalardo, P. Emeriau, Giovanni de Felice +5 more·Oct 3, 2024

We present a method for gradient computation in quantum algorithms implemented on linear optical quantum computing platforms. While parameter-shift rules have become a staple in qubit gate-based quantum computing for calculating gradients, their dire...

Brandon Augustino, M. Cain, E. Farhi +5 more·Oct 3, 2024

We explore strategies aimed at reducing the amount of computation, both quantum and classical, required to run the Quantum Approximate Optimization Algorithm (QAOA). First, following Wurtz et al. [Phys.Rev A 104:052419], we consider the standard QAOA...

R. Uy, D. Gangloff·Oct 3, 2024

Qudits naturally correspond to multilevel quantum systems, which have the potential to enable more efficient quantum information processing, but their reliability is contingent upon quantum error-correction capabilities. In this paper, we present a g...

Cory T. Aitchison, Benjamin B'eri·Oct 3, 2024

Topological order is a promising basis for quantum error correction, a key milestone towards large-scale quantum computing. Floquet codes provide a dynamical scheme for this while also exhibiting Floquet-enriched topological order where anyons period...

Yuguo Shao, Yong-chang Li, Fuchuan Wei +5 more·Oct 3, 2024

Quantum error correction is essential for achieving fault-tolerant quantum computation. However, most typical quantum error-correcting codes are designed for generic noise models, which may fail to accurately capture the intricate noise characteristi...

Joseph Carolan, Amin Shiraz Gilani, Mahathi Vempati·Oct 3, 2024

It is well known that quantum, randomized and deterministic (sequential) query complexities are polynomially related for total boolean functions. We find that significantly larger separations between the parallel generalizations of these measures are...

H. Singh·Oct 3, 2024

Efficiently solving large-scale sparse linear systems poses a significant challenge in computational science, especially in fields such as physics, engineering, machine learning, and finance. Traditional classical algorithms face scalability issues a...

E. Rule, I. Stetcu, Joseph Carlson·Oct 3, 2024

We introduce a simple algorithm for projecting on $J=0$ states of a many-body system by performing a series of rotations to remove states with angular momentum projections greater than zero. Existing methods rely on unitary evolution with the two-bod...

Koichi Miyamoto, Yuichiro Tada·Oct 3, 2024

Quantum algorithms for scientific computing and their applications have been studied actively. In this paper, we propose a quantum algorithm for estimating the first eigenvalue of a differential operator $\mathcal{L}$ on $\mathbb{R}^d$ and its applic...