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Simulating the quantum switch with quantum circuits is computationally hard.

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Higher-order quantum transformations, like the quantum switch, cannot be simulated by standard quantum circuits. This research proves an exponential gap in quantum query complexity, showing indefinite causal order processes are fundamentally more powerful.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing Theory

Background:

  • Quantum channels are fundamental building blocks in quantum information processing.
  • Indefinite causal order describes processes where the order of operations is not fixed.
  • The quantum switch is a key example of a process exhibiting indefinite causal order.

Purpose of the Study:

  • To investigate whether higher-order transformations in indefinite causal order, specifically the quantum switch, can be simulated by quantum circuits.
  • To establish a quantitative measure of the difference in computational power between indefinite causal order and standard quantum circuits.

Main Methods:

  • Theoretical analysis of quantum channel simulation.
  • Proof of an exponential separation in quantum query complexity.
  • Extension of results to probabilistic and approximate simulation scenarios.

Main Results:

  • The quantum switch acting on two n-qubit channels cannot be simulated by a quantum circuit using k calls to one channel and one to the other if k < 2^n.
  • An exponential separation in quantum query complexity is proven between indefinite causal order processes and quantum circuits.
  • Simulation remains impossible even with one additional call to both input channels.

Conclusions:

  • Processes with indefinite causal order possess computational power beyond that of standard quantum circuits.
  • There is a fundamental, exponential gap in query complexity that cannot be bridged by simply increasing circuit depth.
  • The findings have implications for the design and capabilities of future quantum information processing architectures.