Papers

Xiaoyu Jing, Yanjun Li, Guangyue Zhao +2 more·May 2, 2023

Due to Grover’s algorithm, any exhaustive search attack of block ciphers can achieve a quadratic speed-up. To implement Grover’s exhaustive search and accurately estimate the required resources, one needs to implement the target ciphers as quantum ci...

Bingzhi Zhang, Quntao Zhuang·May 2, 2023

Bosonic variational quantum circuits (VQCs) are crucial for information processing in microwave cavities, trapped ions, and optical systems, widely applicable in quantum communication, sensing and error correction. The trainability of such VQCs is le...

Kaustav Mukherjee, Sarah Chehade, Lorenzo Versini +3 more·May 2, 2023

Random ensembles of pure states have proven to be extremely important in various aspects of quantum physics such as benchmarking the performance of quantum circuits, testing for quantum advantage, providing novel insights for many-body thermalization...

E. Wright, Rog´erio de Sousa·May 2, 2023

The design of high-fidelity quantum gates is difficult because it requires the optimization of two competing effects, namely maximizing gate speed and minimizing leakage out of the qubit subspace. We propose a deep reinforcement learning algorithm th...

Manuel H. Muñoz-Arias, Crist'obal Lled'o, A. Blais·May 1, 2023

Time-dependent drives play a crucial role in quantum computing efforts with circuit quantum electrodynamics. They enable single-qubit control, entangling logical operations, as well as qubit readout. However, their presence can lead to deleterious ef...

Lu He, Dongning Liu, Jingxing Gao +8 more·May 1, 2023

Integrated quantum photonic circuit is a promising platform for the realization of quantum information processing in the future. To achieve the large-scale quantum photonic circuits, the applied quantum logic gates should be as small as possible for ...

S. Even-Haim, A. A. Diringer, R. Ruimy +4 more·May 1, 2023

We present a generalization of the conditional displacement operator, conditioned on a qudit ancilla, and discuss possible implementations. This generalization provides a building block for quantum computation with grid states, allowing efficient err...

Yuichiro Mori, Kouhei Nakaji, Y. Matsuzaki +1 more·May 1, 2023

Quantum machine learning with variational quantum algorithms (VQA) has been actively investigated as a practical algorithm in the noisy intermediate-scale quantum (NISQ) era. Recent researches reveal that the data reuploading, which repeatedly encode...

Dhruv Bhatnagar, M. Steinberg, David Elkouss +2 more·May 1, 2023

Flag-style fault-tolerance has become a linchpin in the realization of small fault-tolerant quantum-error correction experiments. The flag protocol's utility hinges on low qubit over-head, which is typically much smaller than in other approaches. How...

Kazuki Ikeda, D. Kharzeev, R. Meyer +1 more·May 1, 2023

Using quantum simulations on classical hardware, we study the phase diagram of the massive Schwinger model with a $\theta$-term at finite chemical potential $\mu$. We find that the quantum critical point in the phase diagram of the model can be detec...

I. Magoulas, Francesco A. Evangelista·May 1, 2023

Shallow, CNOT-efficient quantum circuits are crucial for performing accurate computational chemistry simulations on current noisy quantum hardware. Here, we explore the usefulness of noniterative energy corrections, based on the method of moments of ...

L. Valentini, R. B. Christensen, P. Popovski +1 more·May 1, 2023

The reliable provision of entangled qubits is an essential precondition in a variety of schemes for distributed quantum computing. This is challenged by multiple nuisances, such as errors during the transmission over quantum links, but also due to de...

Cameron Cianci·Apr 30, 2023

Error correction has long been suggested to extend the sensitivity of quantum sensors into the Heisenberg Limit. However, operations on logical qubits are only performed through universal gate sets consisting of finite-sized gates such as Clifford+T....

Nicola Franco, Tom Wollschlager, Benedikt Poggel +2 more·Apr 30, 2023

Emerging quantum computing technologies, such as Noisy Intermediate-Scale Quantum (NISQ) devices, offer potential advancements in solving mathematical optimization problems. However, limitations in qubit availability, noise, and errors pose challenge...

E. Dumitrescu·Apr 29, 2023

We briefly discuss the current state, and future computational implications, of quantum type theory.

S. Lin, Joshua Viszlai, Kaitlin N. Smith +4 more·Apr 29, 2023

Fabrication errors pose a significant challenge in scaling up solid-state quantum devices to the sizes required for fault-tolerant (FT) quantum applications. To mitigate the resource overhead caused by fabrication errors, we combine two approaches: (...

Huaping He, Fuyuan Xiao·Apr 28, 2023

Dempster rule of combination (DRC) is widely used for uncertainty reasoning in intelligent information system, which is generalized to complex domain recently. However, as the increase of identification framework elements, the computational complexit...

Charles Yuan, Agnes Villanyi, Michael Carbin·Apr 28, 2023

Quantum algorithms for tasks such as factorization, search, and simulation rely on control flow such as branching and iteration that depends on the value of data in superposition. High-level programming abstractions for control flow, such as switches...

D. Strano, Benn Bollay, Aryan Blaauw +3 more·Apr 28, 2023

We benchmark the performances of Qrack, an open-source software library for the high-performance classical simulation of (gate-model) quantum computers. Qrack simulates, in the Schrödinger picture, the exact quantum state of $n$ qubits evolving under...

Misty Wahl, A. Mari, Nathan Shammah +2 more·Apr 28, 2023

In this work, we migrate the quantum error mitigation technique of Zero-Noise Extrapolation (ZNE) to fault-tolerant quantum computing. We employ ZNE on logically encoded qubits rather than physical qubits. This approach will be useful in a regime whe...