Quantum simulations of hadron dynamics in the Schwinger model using 112 qubits
Hadron wave packets are prepared and time evolved in the Schwinger model using 112
qubits of IBM's 133-qubit Heron quantum computer ibm_torino. The initialization of the …
qubits of IBM's 133-qubit Heron quantum computer ibm_torino. The initialization of the …
Demonstration of robust and efficient quantum property learning with shallow shadows
Extracting information efficiently from quantum systems is a major component of quantum
information processing tasks. Randomized measurements, or classical shadows, enable …
information processing tasks. Randomized measurements, or classical shadows, enable …
Challenges and opportunities in the supervised learning of quantum circuit outputs
Recently, deep neural networks have proven capable of predicting some output properties
of relevant random quantum circuits, indicating a strategy to emulate quantum computers …
of relevant random quantum circuits, indicating a strategy to emulate quantum computers …
Quantum computing for climate change detection, climate modeling, and climate digital twin
S Otgonbaatar, O Nurmi, M Johansson, J Mäkelä… - Authorea …, 2023 - techrxiv.org
This study explores the potential of quantum machine learning and quantum computing for
climate change detection, climate modeling, and climate digital twin. We additionally …
climate change detection, climate modeling, and climate digital twin. We additionally …
Learning Density Functionals from Noisy Quantum Data
E Koridon, F Frohnert, E Prehn… - arXiv preprint arXiv …, 2024 - arxiv.org
The search for useful applications of noisy intermediate-scale quantum (NISQ) devices in
quantum simulation has been hindered by their intrinsic noise and the high costs associated …
quantum simulation has been hindered by their intrinsic noise and the high costs associated …
Scalable Quantum Simulations of Scattering in Scalar Field Theory on 120 Qubits
NA Zemlevskiy - arXiv preprint arXiv:2411.02486, 2024 - arxiv.org
Simulations of collisions of fundamental particles on a quantum computer are expected to
have an exponential advantage over classical methods and promise to enhance searches …
have an exponential advantage over classical methods and promise to enhance searches …
Synergy between noisy quantum computers and scalable classical deep learning
We investigate the potential of combining the computational power of noisy quantum
computers and of classical scalable convolutional neural networks (CNNs). The goal is to …
computers and of classical scalable convolutional neural networks (CNNs). The goal is to …
Readout Error Mitigation for Mid-Circuit Measurements and Feedforward
Current-day quantum computing platforms are subject to readout errors, in which faulty
measurement outcomes are reported by the device. On circuits with mid-circuit …
measurement outcomes are reported by the device. On circuits with mid-circuit …