Papers

Chenfeng Cao, Yeqing Zhou, Swamit Tannu +2 more·Apr 26, 2024

Variational quantum algorithms (VQAs) represent a promising pathway toward achieving practical quantum advantage on near-term hardware. Despite this promise, for generic, expressive ansätze, their scalability is critically hindered by barren plateaus...

Koen Avishai Dylan Damien Stanley Ben Hugo Geoff Gabrie Alexander Benyamini Black Bonneau Burgos Burridge , Koen Alexander, A. Benyamini +99 more·Apr 26, 2024

Although holding great promise for low noise, ease of operation and networking1, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions2, 3, 4, 5–6. Here we introduce a ma...

Noah F. Berthusen, Dhruv Devulapalli, E. Schoute +4 more·Apr 26, 2024

Geometric locality is an important theoretical and practical factor for quantum low-density parity-check (qLDPC) codes that affects code performance and ease of physical realization. For device architectures restricted to two-dimensional (2D) local g...

Walter O. Krawec, Bing Wang, Ryan J Brown·Apr 26, 2024

Simplified trusted nodes (STNs) are a form of trusted node for quantum key distribution (QKD) networks which do not require running a full QKD stack every instance (i.e., they do not need to run error correction and privacy amplification each session...

Maxime Dupont, Bhuvanesh Sundar, B. Evert +4 more·Apr 26, 2024

Achieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting quantum computer, we experimentally investigate the performance of a h...

Theodora Dragan, Akshat Tandon, Tom Haider +3 more·Apr 26, 2024

Quantum machine learning (QML) as combination of quantum computing with machine learning (ML) is a promising direction to explore, in particular due to the advances in realizing quantum computers and the hoped-for quantum advantage. A field within QM...

Refat Ismail, Ashish Kakkar, A. Dymarsky·Apr 26, 2024

Quantum error-correcting codes (QECCs) is at the heart of fault-tolerant quantum computing. As the size of quantum platforms is expected to grow, one of the open questions is to design new optimal codes of ever-increasing size. A related challenge is...

Ren-Xin Zhao, Shi Wang, Yaonan Wang·Apr 26, 2024

The interpretability of quantum machine learning (QML) refers to the capability to provide clear and understandable explanations for the predictions and decision-making processes of QML models. However, most quantum convolutional layers (QCLs) utiliz...

Elena R. Henderson, Jessie M. Henderson, William V. Oxford +1 more·Apr 26, 2024

Several cryptographic systems depend upon the computational difficulty of reversing cryptographic hash functions. Robust hash functions transform inputs to outputs in such a way that the inputs cannot be later retrieved in a reasonable amount of time...

Victor Fischer, Maximilian Passek, Friedrich Wagner +3 more·Apr 26, 2024

Understanding the benefits of quantum computing for solving combinatorial optimization problems (COPs) remains an open research question. In this work, we extend and analyze algorithms that solve COPs by recursively shrinking them. The algorithms lev...

Frédéric Bouchard, Kate L. Fenwick, K. Bonsma-Fisher +4 more·Apr 26, 2024

We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric networks at ...

Merel A. Schalkers, Matthias Möller·Apr 26, 2024

The past years have seen a surge in quantum algorithms for computational fluid dynamics (CFD). These algorithms have in common that whilst promising a speed-up in the performance of the algorithm, no specific method of measurement has been suggested....

Cédric Pilatte·Apr 25, 2024

In 1994, Shor introduced his famous quantum algorithm to factor integers and compute discrete logarithms in polynomial time. In 2023, Regev proposed a multi-dimensional version of Shor's algorithm that requires far fewer quantum gates. His algorithm ...

David T. Stephen, Oliver Hart·Apr 25, 2024

In the era of noisy, intermediate-scale quantum (NISQ) devices, the efficient preparation of many-body resource states is a task of paramount importance. In this paper we focus on the deterministic preparation of matrix-product states (MPS) in consta...

Tobias Schmale, H. Weimer·Apr 25, 2024

Simulations of lattice gauge theories on noisy quantum hardware inherently suffer from violations of the gauge symmetry due to coherent and incoherent errors of the underlying physical system that implements the simulation. These gauge violations cau...

Sanket Chirame, Fiona J. Burnell, Sarang Gopalakrishnan +1 more·Apr 25, 2024

We present a family of local quantum channels whose steady states exhibit stable mixed-state symmetry-protected topological (SPT) order. Motivated by recent experimental progress on "erasure conversion" techniques that allow one to identify (herald) ...

Vladlen Galetsky, Pol Julià Farré, Soham Ghosh +2 more·Apr 25, 2024

In this work, we present two new methods for variational quantum circuit (VQC) process tomography (PT) onto n qubits systems: unitary PT based on VQCs (PT_VQC) and unitary evolution-based variational quantum singular value decomposition (U-VQSVD). Co...

Pascal Halffmann, Michael Trebing, Steve Lenk·Apr 25, 2024

In the rapidly advancing domain of quantum optimization, the confluence of quantum algorithms such as Quantum Annealing (QA) and the Quantum Approximate Optimization Algorithm (QAOA) with robust optimization methodologies presents a cutting-edge fron...

A. Zaballos, Adrià Mallorquí, Joan Navarro·Apr 25, 2024

Device redundancy is one of the most well-known mechanisms in distributed systems to increase the overall system fault tolerance and, consequently, trustworthiness. Existing algorithms in this regard aim to exchange a significant number of messages a...

Abeynaya Gnanasekaran, Amit Surana·Apr 25, 2024

We develop a novel approach for efficiently applying the variational quantum linear solver (VQLS) in the context of structured sparse matri-ces. Such matrices frequently arise during numerical solution of partial differential equations which are ubiq...