Shallow Shadows: Expectation Estimation Using Low-Depth Random Clifford Circuits
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a 52-minute lecture on shallow shadows and expectation estimation using low-depth random Clifford circuits. Delve into Christian Bertoni's presentation from the Dahlem Center for Complex Quantum Systems at Freie Universitat Berlin, Germany. Learn about a new scheme that interpolates between random single-qubit Clifford measurements and random global Clifford measurements using a brickwork circuit of random two-qubit gates. Discover how this approach achieves sample efficiency comparable to global Clifford measurements at logarithmic depth while maintaining favorable characteristics of single-qubit Clifford measurements. Gain insights into the potential of logarithmically deep Clifford circuits for classical shadows in experimental implementations. Follow the lecture's progression through topics such as the HKP protocol, global Cliffords scheme, change in terminology, storage of classical shadow, measurement channel representation and inversion, protocol execution, and analytical bounds for locally scrambled shadow norm. Read more