Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications
Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term syste...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Transactions on Quantum Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8972540/ |
| _version_ | 1818890126296612864 |
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| author | Xiang Zou Shavindra P. Premaratne M. Adriaan Rol Sonika Johri Viacheslav Ostroukh David J. Michalak Roman Caudillo James S. Clarke Leonardo DiCarlo A. Y. Matsuura |
| author_facet | Xiang Zou Shavindra P. Premaratne M. Adriaan Rol Sonika Johri Viacheslav Ostroukh David J. Michalak Roman Caudillo James S. Clarke Leonardo DiCarlo A. Y. Matsuura |
| author_sort | Xiang Zou |
| collection | DOAJ |
| description | Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term systems require specific architecture and design attributes to realize their full potential. To efficiently execute an algorithm, the quantum coprocessor must be designed to scale with respect to qubit number and to maximize useful computation within the qubits' decoherence bounds. In this work, we employ an application-system-qubit co-design methodology to architect a near-term quantum coprocessor. To support algorithms from the real-world application area of simulating the quantum dynamics of a material system, we design a (parameterized) arbitrary single-qubit rotation instruction and a two-qubit entangling controlled-Z instruction. We introduce dynamic gate set and paging mechanisms to implement the instructions. To evaluate the functionality and performance of these two instructions, we implement a two-qubit version of an algorithm to study a disorder-induced metal-insulator transition and run 60 random instances of it, each of which realizes one disorder configuration and contains 40 two-qubit instructions (or gates) and 104 single-qubit instructions. We observe the expected quantum dynamics of the time-evolution of this system. |
| first_indexed | 2024-12-19T17:19:57Z |
| format | Article |
| id | doaj.art-504b9f1c134f421db30014ed9ff58df6 |
| institution | Directory Open Access Journal |
| issn | 2689-1808 |
| language | English |
| last_indexed | 2024-12-19T17:19:57Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Quantum Engineering |
| spelling | doaj.art-504b9f1c134f421db30014ed9ff58df62022-12-21T20:12:42ZengIEEEIEEE Transactions on Quantum Engineering2689-18082020-01-0111710.1109/TQE.2020.29658108972540Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science ApplicationsXiang Zou0https://orcid.org/0000-0003-0877-8899Shavindra P. Premaratne1https://orcid.org/0000-0002-4985-4571M. Adriaan Rol2https://orcid.org/0000-0001-9726-1239Sonika Johri3Viacheslav Ostroukh4https://orcid.org/0000-0001-9892-3759David J. Michalak5https://orcid.org/0000-0002-1226-608XRoman Caudillo6James S. Clarke7Leonardo DiCarlo8A. Y. Matsuura9Intel Labs, Intel Corporation, Hillsboro, OR, USAIntel Labs, Intel Corporation, Hillsboro, OR, USAQuTech, Delft University of Technology, Delft, GA, The NetherlandsIntel Labs, Intel Corporation, Hillsboro, OR, USAQuTech, Delft University of Technology, Delft, GA, The NetherlandsComponents Research, Intel Corporation, Hillsboro, OR, USAComponents Research, Intel Corporation, Hillsboro, OR, USAComponents Research, Intel Corporation, Hillsboro, OR, USAQuTech, Delft University of Technology, Delft, GA, The NetherlandsIntel Labs, Intel Corporation, Hillsboro, OR, USAQuantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term systems require specific architecture and design attributes to realize their full potential. To efficiently execute an algorithm, the quantum coprocessor must be designed to scale with respect to qubit number and to maximize useful computation within the qubits' decoherence bounds. In this work, we employ an application-system-qubit co-design methodology to architect a near-term quantum coprocessor. To support algorithms from the real-world application area of simulating the quantum dynamics of a material system, we design a (parameterized) arbitrary single-qubit rotation instruction and a two-qubit entangling controlled-Z instruction. We introduce dynamic gate set and paging mechanisms to implement the instructions. To evaluate the functionality and performance of these two instructions, we implement a two-qubit version of an algorithm to study a disorder-induced metal-insulator transition and run 60 random instances of it, each of which realizes one disorder configuration and contains 40 two-qubit instructions (or gates) and 104 single-qubit instructions. We observe the expected quantum dynamics of the time-evolution of this system.https://ieeexplore.ieee.org/document/8972540/Computer architecturemicroarchitecturequantum algorithmquantum circuitquantum computingquantum gate |
| spellingShingle | Xiang Zou Shavindra P. Premaratne M. Adriaan Rol Sonika Johri Viacheslav Ostroukh David J. Michalak Roman Caudillo James S. Clarke Leonardo DiCarlo A. Y. Matsuura Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications IEEE Transactions on Quantum Engineering Computer architecture microarchitecture quantum algorithm quantum circuit quantum computing quantum gate |
| title | Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications |
| title_full | Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications |
| title_fullStr | Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications |
| title_full_unstemmed | Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications |
| title_short | Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications |
| title_sort | enhancing a near term quantum accelerator x0027 s instruction set architecture for materials science applications |
| topic | Computer architecture microarchitecture quantum algorithm quantum circuit quantum computing quantum gate |
| url | https://ieeexplore.ieee.org/document/8972540/ |
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