Energy-efficient quantum computing
Autor: | Mikko Möttönen, J. Salmilehto, Joni Ikonen |
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Přispěvatelé: | Department of Applied Physics, Yale University, Aalto-yliopisto, Aalto University |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Computer Networks and Communications
Computer science QC1-999 FOS: Physical sciences 01 natural sciences 010305 fluids & plasmas Entanglement Computer Science::Emerging Technologies Quantum gate energy consumption 0103 physical sciences Computer Science (miscellaneous) Electronic engineering 010306 general physics Quantum Quantum computer Quantum Physics Physics kvanttitietokoneet Statistical and Nonlinear Physics energiankulutus QA75.5-76.95 Energy consumption Power (physics) Computational Theory and Mathematics Electronic computers. Computer science Qubit lämmön johtuminen Quantum gates Quantum Physics (quant-ph) Error detection and correction Efficient energy use |
Zdroj: | npj Quantum Information, Vol 3, Iss 1, Pp 1-7 (2017) npj Quantum Information |
Popis: | In the near future, a major challenge in quantum computing is to scale up robust qubit prototypes to practical problem sizes and to implement comprehensive error correction for computational precision. Due to inevitable quantum uncertainties in resonant control pulses, increasing the precision of quantum gates comes with the expense of increased energy consumption. Consequently, the power dissipated in the vicinity of the processor in a well-working large-scale quantum computer seems unacceptably large in typical systems requiring low operation temperatures. Here, we introduce a method for qubit driving and show that it serves to decrease the single-qubit gate error without increasing the average power dissipated per gate. Previously, single-qubit gate error induced by a bosonic drive mode has been considered to be inversely proportional to the energy of the control pulse, but we circumvent this bound by reusing and correcting itinerant control pulses. Thus our work suggests that heat dissipation does not pose a fundamental limitation, but a necessary practical challenge in future implementations of large-scale quantum computers. Comment: 12 pages, 9 figures |
Databáze: | OpenAIRE |
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