Random unitaries in extremely low depth
Thomas Schuster1,2,3, Jonas Haferkamp4,5, Hsin-Yuan Huang2,3,6
1Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA.
Summary
Local quantum circuits can efficiently generate random unitaries in shallow depths, unlike classical systems. This breakthrough in quantum technologies offers new possibilities for quantum science and understanding complex physics.
Area of Science:
- Quantum physics
- Quantum information science
- Condensed matter theory
Background:
- Random unitaries are crucial for quantum technologies and studying complex quantum many-body systems.
- Current methods for generating random unitaries necessitate lengthy evolution times and intricate quantum circuits.
- This limits their practical application and scalability in quantum computing.
Purpose of the Study:
- To demonstrate that local quantum circuits can generate random unitaries with remarkably low circuit depth.
- To show these shallow circuits are indistinguishable from exponentially complex random unitaries.
- To explore the implications for quantum technologies and learning fundamental physical properties.
Main Methods:
- Theoretical analysis of local quantum circuit constructions.
- Investigation of correlation properties in shallow quantum circuits.
- Comparison of generated unitaries with true random unitaries.
Main Results:
- Local quantum circuits can form random unitaries in extremely low depth, irrespective of the underlying geometry.
- These shallow circuits exhibit low complexity and generate only short-range correlations.
- The generated unitaries are indistinguishable from those produced by exponentially complex circuits.
- This contrasts with classical systems where randomness requires long evolution times.
Conclusions:
- Shallow local quantum circuits provide an efficient method for generating random unitaries.
- The findings have broad applications in quantum device benchmarking and demonstrating quantum advantages.
- The study reveals inherent difficulties in learning fundamental physical properties like evolution time and causal structure from quantum systems.
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