Implementing two-qubit gates at the quantum speed limit

• URL: http://arxiv.org/abs/2206.07716v4
• Date: Fri, 1 Dec 2023 16:38:17 GMT
• Title: Implementing two-qubit gates at the quantum speed limit
• Authors: Joel Howard, Alexander Lidiak, Casey Jameson, Bora Basyildiz, Kyle Clark, Tongyu Zhao, Mustafa Bal, Junling Long, David P. Pappas, Meenakshi Singh, Zhexuan Gong
• Abstract summary: We experimentally demonstrate commonly used two-qubit gates at nearly the fastest possible speed. We achieve this quantum speed limit by implementing experimental gates designed using a machine learning inspired optimal control method. We expect our method to offer significant speedups for non-native two-qubit gates.
• Score: 33.51056531486263
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The speed of elementary quantum gates, particularly two-qubit gates, ultimately sets the limit on the speed at which quantum circuits can operate. In this work, we experimentally demonstrate commonly used two-qubit gates at nearly the fastest possible speed allowed by the physical interaction strength between two superconducting transmon qubits. We achieve this quantum speed limit by implementing experimental gates designed using a machine learning inspired optimal control method. Importantly, our method only requires the single-qubit drive strength to be moderately larger than the interaction strength to achieve an arbitrary two-qubit gate close to its analytical speed limit with high fidelity. Thus, the method is applicable to a variety of platforms including those with comparable single-qubit and two-qubit gate speeds, or those with always-on interactions. We expect our method to offer significant speedups for non-native two-qubit gates that are typically achieved with a long sequence of single-qubit and native two-qubit gates.

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