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Indefinite Causal Order in a Quantum Switch.

K Goswami1, C Giarmatzi1, M Kewming1

  • 1Centre for Engineered Quantum Systems, School of Mathematics and Physics, University of Queensland, Queensland 4072, Australia.

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This summary is machine-generated.

Scientists demonstrate a quantum switch where operations occur in a superposition of orders, challenging definite causality. This quantum phenomenon was confirmed using a causal witness, verifying the absence of a predictable causal sequence.

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Area of Science:

  • Quantum Physics
  • Quantum Information Science

Background:

  • Quantum mechanics challenges classical notions of causality, allowing for events without a definite temporal order.
  • Verifying quantum phenomena like entanglement relies on specific measurement techniques, such as entanglement witnesses.

Purpose of the Study:

  • To experimentally realize a photonic quantum switch enabling operations in a superposition of orders.
  • To verify the absence of definite causal order in a quantum system using a causal witness.

Main Methods:

  • Implementation of a photonic quantum switch using the transverse spatial mode of photons.
  • Control of operation order via quantum superposition, with polarization acting as the control mechanism.
  • Construction and measurement of a causal witness to quantify the deviation from definite causal order.

Main Results:

  • Successful realization of a quantum switch where two operations (A and B) exist in a superposition of their temporal order.
  • Ensured operations are indistinguishable by spatial or temporal position, allowing for qudit encoding.
  • Measured a causal witness value significantly beyond the bound for definite causal order (18 standard deviations).

Conclusions:

  • The experiment confirms that quantum mechanics permits events to occur without a definite causal order.
  • The photonic quantum switch serves as a verifiable platform for studying non-classical causal structures.
  • This work opens avenues for exploring quantum computation and information processing with indefinite causal orders.