Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Berthusen, Noah"'
Autor:
Berthusen, Noah, Dreiling, Joan, Foltz, Cameron, Gaebler, John P., Gatterman, Thomas M., Gresh, Dan, Hewitt, Nathan, Mills, Michael, Moses, Steven A., Neyenhuis, Brian, Siegfried, Peter, Hayes, David
Single-shot quantum error correction has the potential to speed up quantum computations by removing the need for multiple rounds of syndrome extraction in order to be fault-tolerant. Using Quantinuum's H2 trapped-ion quantum computer, we implement th
Externí odkaz:
http://arxiv.org/abs/2408.08865
Simulating quantum systems is one of the most promising tasks where quantum computing can potentially outperform classical computing. However, the robustness needed for reliable simulations of medium to large systems is beyond the reach of existing q
Externí odkaz:
http://arxiv.org/abs/2406.08675
Autor:
Berthusen, Noah, Devulapalli, Dhruv, Schoute, Eddie, Childs, Andrew M., Gullans, Michael J., Gorshkov, Alexey V., Gottesman, Daniel
Geometric locality is an important theoretical and practical factor for quantum low-density parity-check (qLDPC) codes which affects code performance and ease of physical realization. For device architectures restricted to 2D local gates, naively imp
Externí odkaz:
http://arxiv.org/abs/2404.17676
Autor:
Berthusen, Noah, Gottesman, Daniel
Publikováno v:
Quantum 8, 1345 (2024)
Hypergraph product codes are a promising avenue to achieving fault-tolerant quantum computation with constant overhead. When embedding these and other constant-rate qLDPC codes into 2D, a significant number of nonlocal connections are required, posin
Externí odkaz:
http://arxiv.org/abs/2306.17122
Publikováno v:
Communications Physics 6, 4 (2023)
Hybrid quantum-classical embedding methods for correlated materials simulations provide a path towards potential quantum advantage. However, the required quantum resources arising from the multi-band nature of $d$ and $f$ electron materials remain la
Externí odkaz:
http://arxiv.org/abs/2203.06745
Publikováno v:
Phys. Rev. Research 4, 023097 (2022)
We demonstrate a post-quench dynamics simulation of a Heisenberg model on present-day IBM quantum hardware that extends beyond the coherence time of the device. This is achieved using a hybrid quantum-classical algorithm that propagates a state using
Externí odkaz:
http://arxiv.org/abs/2112.12654
Publikováno v:
SciPost Phys. 11, 011 (2021)
We present a deep machine learning algorithm to extract crystal field (CF) Stevens parameters from thermodynamic data of rare-earth magnetic materials. The algorithm employs a two-dimensional convolutional neural network (CNN) that is trained on magn
Externí odkaz:
http://arxiv.org/abs/2011.12911
Autor:
Gomes, Niladri, Zhang, Feng, Berthusen, Noah F., Wang, Cai-Zhuang, Ho, Kai-Ming, Orth, Peter P., Yao, Yongxin
Publikováno v:
J. Chem. Theory Comput. 2020
We develop a resource efficient step-merged quantum imaginary time evolution approach (smQITE) to solve for the ground state of a Hamiltonian on quantum computers. This heuristic method features a fixed shallow quantum circuit depth along the state e
Externí odkaz:
http://arxiv.org/abs/2006.15371
Autor:
Zhang, Feng, Gomes, Niladri, Berthusen, Noah F., Orth, Peter P., Wang, Cai-Zhuang, Ho, Kai-Ming, Yao, Yong-Xin
Publikováno v:
Phys. Rev. Research 3, 013039 (2021)
Development of resource-friendly quantum algorithms remains highly desirable for noisy intermediate-scale quantum computing. Based on the variational quantum eigensolver (VQE) with unitary coupled cluster ansatz, we demonstrate that partitioning of t
Externí odkaz:
http://arxiv.org/abs/2006.11213
Publikováno v:
npj Quantum Inf 9, 108 (2023)
Reinforcement learning has witnessed recent applications to a variety of tasks in quantum programming. The underlying assumption is that those tasks could be modeled as Markov Decision Processes (MDPs). Here, we investigate the feasibility of this as
Externí odkaz:
http://arxiv.org/abs/1912.12002