⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文介绍了一款采用28nm Bulk-CMOS工艺的低温脉冲调制器,工作频率为4-8GHz,功耗低于2mW。它旨在为可扩展量子计算提供高效、低功耗的控制信号生成方案,解决了在低温环境下驱动量子比特的脉冲调制难题。
Ofer Naaman2, Rami Barends2, Ted White2, Marissa Giustina2, Daniel Sank2, Pedram Roushan2, Kunal Arya2, Benjamin Chiaro3, Julian Kelly2, Jimmy Chen2, Brian Burkett2, Yu Chen2, Andrew Dunsworth3, Austin Fowler2, Brooks Foxen3, Craig Gidney2, Rob Graff2, Paul Klimov2, Josh Mutus2, Matthew McEwen3, Anthony Megrant2, Matthew Neeley2, Charles Neill2, Chris Quintana2, Amit Vainsencher2, Hartmut Neven4, John Martinis2,3 University of Massachusetts, Amherst, MA Google, Goleta, CA 3 University of California, Santa Barbara, CA, 4Google, Los Angeles, CA 1 2 While quantum processors are typically cooled to <25mK to avoid thermal disturbances to their delicate quantum states, all qubits still suffer decoherence and gate errors. As such, quantum error correction is needed to fully harness the power of quantum computing (QC). Current projections indicate that >1,000 physical qubits will be required to encode one error-corrected qubit [1].
Joseph C. Bardin1,2, Evan Jeffrey2, Erik Lucero2, Trent Huang2,