Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum algorithms for state preparation and data classification based on stabilizer codes
P. Jouzdani, H. A. Hashim, E. Mucciolo·Sep 18, 2023
Quantum error correction (QEC) is a way to protect quantum information against noise. It consists of encoding input information into entangled quantum states known as the code space. Furthermore, to classify if the encoded information is corrupted or...
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
Maxwell T. West, Azar C. Nakhl, J. Heredge +4 more·Sep 18, 2023
Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realisation for practical applications remains impeded by challenges. Amongst those, a key barrier is the compu...
Quantum computation of π → π* and n → π* excited states of aromatic heterocycles
Maria A. Castellanos, Mario Motta, Julia E Rice·Sep 18, 2023
The computation of excited electronic states is an important application for quantum computers. In this work, we simulate the excited state spectra of four aromatic heterocycles on IBM superconducting quantum computers, focussing on active spaces of ...
Automated Superconducting Qubit Characterisation Platform Based on a Modified 3D Printer
Haochen Li, Soe Gon Yee Thant, Rainer Dumke·Sep 18, 2023
Josephson Junctions are important components in superconducting qubits. It introduces anharmonicity to the energy level spacings of the qubit which allow us to identify two unique quantum energy states for computing. It is difficult to fabricate mult...
Correcting on-chip distortion of control pulses with silicon spin qubits
Ming 铭 Ni 倪, R. Ma 马, Zhen-Zhen 真真 Kong 孔 +10 more·Sep 18, 2023
In semiconductor quantum dot systems, pulse distortion is a significant source of coherent errors, which impedes qubit characterization and control. Here, we demonstrate two calibration methods using a two-qubit system as the detector to correct dist...
Fault-tolerant one-bit addition with the smallest interesting color code
Yang Wang, Selwyn Simsek, T. Gatterman +9 more·Sep 18, 2023
Fault-tolerant operations based on stabilizer codes are the state of the art in suppressing error rates in quantum computations. Most such codes do not permit a straightforward implementation of non-Clifford logical operations, which are necessary to...
Quantum Vision Clustering
Xuan-Bac Nguyen, Benjamin Thompson, Hugh Churchill +2 more·Sep 18, 2023
Unsupervised visual clustering has garnered significant attention in recent times, aiming to characterize distributions of unlabeled visual images through clustering based on a parameterized appearance approach. Alternatively, clustering algorithms c...
Quantum Algorithm for Imaginary-Time Green's Functions.
Diksha Dhawan, D. Zgid, Mario Motta·Sep 18, 2023
Green's function methods lead to ab initio, systematically improvable simulations of molecules and materials while providing access to multiple experimentally observable properties such as the density of states and the spectral function. The calculat...
Des-q: a quantum algorithm to provably speedup retraining of decision trees
Niraj Kumar, Romina Yalovetzky, Changhao Li +2 more·Sep 18, 2023
Decision trees are widely adopted machine learning models due to their simplicity and explainability. However, as training data size grows, standard methods become increasingly slow, scaling polynomially with the number of training examples. In this ...
Non-Linear Transformations of Quantum Amplitudes: Exponential Improvement, Generalization, and Applications
Arthur G. Rattew, P. Rebentrost·Sep 18, 2023
Quantum algorithms manipulate the amplitudes of quantum states to find solutions to computational problems. In this work, we present a framework for applying a general class of non-linear functions to the amplitudes of quantum states, with up-to an e...
Resource Estimation of Quantum Multiplication Algorithms
Ethan Hansen, Sanskriti Joshi, Hannah Rarick·Sep 17, 2023
As quantum computers progress towards a larger scale, it is imperative that the “top” of the computing-technology stack is improved. This project investigates the quantum resources required to compute primitive arithmetic algorithms, particularly mul...
Transversal Injection: Using the Surface Code to Prepare Non-Pauli Eigenstates
J. Gavriel, Daniel Herr, Alexis Shaw +3 more·Sep 17, 2023
The development of quantum computing systems for large scale algorithms requires targeted error rates un-achievable through hardware advancements alone. Quantum Error Correction (QEC) allows us to use systems with a large number of physical qubits to...
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images
Su Yeon Chang, M. Grossi, B. L. Saux +1 more·Sep 17, 2023
Quantum Neural Networks (QNNs) are suggested as one of the quantum algorithms which can be efficiently simulated with a low depth on near-term quantum hardware in the presence of noises. However, their performance highly relies on choosing the most s...
Experimental Demonstration of Fermionic QAOA with One-Dimensional Cyclic Driver Hamiltonian
Takuya Yoshioka, Keita Sasada, Yuichiro Nakano +1 more·Sep 17, 2023
Quantum approximate optimization algorithm (QAOA) has attracted much attention as an algorithm that has the potential to efficiently solve combinatorial optimization problems. Among them, a fermionic QAOA (FQAOA) for solving constrained optimization ...
Optimal number-conserved linear encoding for practical fermionic simulation
M. H. Cheng, Yu-Cheng Chen, Qian Wang +5 more·Sep 17, 2023
Number-conserved subspace encoding reduces resources needed for quantum simulations, but scalable complexity trade-off bounds for M modes and N particles with O(NlogM) qubits have remained unknown. We study qubit-gate-measurement trade-offs through t...
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques
M. Davis, Joaquín Chung, Dirk R. Englund +1 more·Sep 17, 2023
Distributed quantum computing is motivated by the difficulty in building large-scale, individual quantum computers. To solve that problem, a large quantum circuit is partitioned and distributed to small quantum computers for execution. Partitions run...
"Smoking gun"signatures of topological milestones in trivial materials by measurement fine-tuning and data postselection
S. M. Frolov, P. Zhang, B. Zhang +9 more·Sep 17, 2023
Exploring the topology of electronic bands is a way to realize new states of matter with possible implications for information technology. Because bands cannot always be observed directly, a central question is how to tell that a topological regime h...
Quantum Circuit Optimization through Iteratively Pre-Conditioned Gradient Descent
Dhruv Srinivasan, Kushal Chakrabarti, Nikhil Chopra +1 more·Sep 17, 2023
Gate-based quantum algorithms are typically implemented by circuits consisting of many single-qubit and multi-qubit gates operating on a quantum input state, followed by measurements of the output state. For certain quantum subroutines, such as initi...
Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms
P. Radanliev, D. D. Roure, Omar Santos·Sep 17, 2023
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing unprecedented opportunities and potential vulnerabilities.This research, conducted over five years, delves i...
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Yize Sun, Yunpu Ma, Volker Tresp·Sep 17, 2023
Differentiable quantum architecture search (DQAS) is a gradient-based framework to design quantum circuits automatically in the NISQ era. It was motivated by such as low fidelity of quantum hardware, low flexibility of circuit architecture, high circ...