Papers

Y. Wang, T. Calarco, F. Motzoi +1 more·Jun 20, 2025

As quantum processing units grow in size and precision we enter the stage where quantum algorithms can be tested on actual quantum devices. To implement a given quantum circuit on a given quantum device, one has to express the circuit in terms of the...

P. Zhelnin, Lucas Johns, C. Argüelles·Jun 20, 2025

Adiabaticity is a cornerstone of many promising approaches to quantum control, computing, and simulation. In practice, however, there is always a trade-off. Although the deleterious effects of noise can be diminished by running a control schedule mor...

Bai Liu, Peng Qian, Zhan-qiang Cao +1 more·Jun 20, 2025

Majorana zero modes (MZMs) are non-Abelian quasiparticles with the potential to serve as topological qubits for fault-tolerant quantum computing due to their ability to encode quantum information nonlocally. In multi-Majorana systems configured into ...

Omid Faizy, N. Wehn, P. Lukowicz +1 more·Jun 20, 2025

Quantum arithmetic computation requires a substantial number of scratch qubits to stay reversible. These operations necessitate qubit and gate resources equivalent to those needed for the larger of the input or output registers due to state encoding....

Andrew Tranter, Duncan Gowland, Kentaro Yamamoto +2 more·Jun 20, 2025

Emergent quantum computing technologies are widely expected to provide novel approaches in the simulation of quantum chemistry. Despite rapid improvements in the scale and fidelity of quantum computers, high resource requirements make the execution o...

Dawid Paszko, Christopher J. Turner, Dominic C. Rose +1 more·Jun 20, 2025

The Lindblad equation for open quantum systems is central to our understanding of coherence and entanglement in the presence of Markovian dissipation. In closed quantum systems Hilbert-space fragmentation is an effective mechanism for slowing decoher...

Mauricio Guti'errez, J. S. Rojas-Arias, D. Obando +1 more·Jun 20, 2025

We investigate the performance of two quantum error-correcting codes, the surface code and the Bacon-Shor code, for implementation with spin qubits in silicon. In each case, we construct a logical qubit using a planar array of quantum dots, exploring...

Valentine Nyirahafashimana, Nurisya Mohd Shah, Umair Abdul Halim +1 more·Jun 20, 2025

We construct rotated logical states by applying rotation operators to stabilizer states, extending the logical basis and modifying stabilizer generators. Rotation operators affect the effective code distance $d_R$, which decays exponentially with rot...

Alice Barthe, Mahtab Yaghubi Rad, Michele Grossi +1 more·Jun 20, 2025

One of the key challenges in quantum machine learning is finding relevant machine learning tasks with a provable quantum advantage. A natural candidate for this is learning unknown Hamiltonian dynamics. Here, we tackle the supervised learning version...

Christopher F. Kane, Siddharth Hariprakash, Christian W. Bauer·Jun 20, 2025

Taking the continuum limit is essential for extracting physical observables from quantum simulations of lattice gauge theories. Achieving the correct continuum limit requires careful control of all systematic uncertainties, including those arising fr...

Lee R. Liu, Min-Quan He, Dan-Bo Zhang +1 more·Jun 20, 2025

We propose a quantum authentication and digital signature protocol whose security is founded on the Quantum Merlin Arthur~(QMA)-completeness of the consistency of local density matrices. The protocol functions as a true public-key cryptography system...

F. Shen, Y. Ji, Debin Xiang +20 more·Jun 20, 2025

Quantum random access memory (QRAM) enables efficient classical data access for quantum computers -- a prerequisite for many quantum algorithms to achieve quantum speedup. Despite various proposals, the experimental realization of QRAM remains largel...

Otmane Ainelkitane, Brian Recktenwall-Calvet, Aasma Iqbal +1 more·Jun 20, 2025

In this study, we investigate a simple quantum pre-processing filter kernel designed with only two CNOT gates for image feature extraction. We examine the impact of these filters when combined with a classical neural network for image classification ...

Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz +1 more·Jun 20, 2025

Quantum information science (QIS) is a critical interdisciplinary field that requires a well-educated workforce in the near future. Numerous researchers and educators have been actively investigating how to best educate and prepare such a workforce. ...

Marzio Vallero, Gioele Casagranda, Flavio Vella +1 more·Jun 20, 2025

The quest for universal superconducting quantum computing is hindered by noise and errors. It has been proven that Quantum Error Correction (QEC) codes will lay at the foundation of fault tolerant quantum computing. However, cosmic-ray induced correl...

Steve Abel, M. Spannowsky, Simon Williams·Jun 20, 2025

False vacuum decay in scalar quantum field theory (QFT) is a cornerstone of early Universe cosmology and high energy physics, yet its real-time dynamics is essentially inaccessible to classical computation due to its non-perturbative, highly entangle...

Pablo Rodriguez-Grasa, Pavel Zhelnin, Carlos A. Argüelles +1 more·Jun 19, 2025

Quantum computers represent a new computational paradigm with steadily improving hardware capabilities. In this article, we present the first study exploring how current quantum computers can be used to classify different neutrino event types observe...

Kelly Werker Smith, Don Boroson, Saikat Guha +1 more·Jun 19, 2025

We describe a general quantum receiver protocol that maps laser-light-modulated classical communications signals into quantum processors for decoding with quantum logic. The quantum logic enables joint quantum measurements over a codeword to achieve ...

Tim Möbus, Jorge Sánchez-Segovia, Álvaro M. Alhambra +1 more·Jun 19, 2025

Experimental realizations of spin models are irremediably prone to errors, which can propagate through the system corrupting experimental signals. We study how such errors affect the measurement of local observables in systems with long-range interac...

Lukas Gonon, Rodrigo Martínez-Peña, Juan-Pablo Ortega·Jun 19, 2025

Quantum reservoir computing uses the dynamics of quantum systems to process temporal data, making it particularly well-suited for machine learning with noisy intermediate-scale quantum devices. Recent developments have introduced feedback-based quant...