Reversible computation and the causal structure of space-time
Anandamay Das Bhowmik, Preeti Parashar

TL;DR
This paper explores how the fundamental causal structure of spacetime constrains the set of reversible quantum operations, revealing that anti-linear anti-unitary gates are forbidden due to causal principles beyond relativity.
Contribution
It demonstrates that the prohibition of anti-unitary gates in quantum mechanics arises from fundamental spacetime causal constraints, linking quantum reversibility to spacetime structure.
Findings
Anti-unitary gates violate a fundamental causal primitive.
Spacetime causal structure constrains quantum reversible operations.
The restriction is distinct from relativistic causality principles.
Abstract
Reversible algorithms play a crucial role both in classical and quantum computation. While for a classical bit the only nontrivial reversible operation is the bit-flip, nature is far more versatile in what it allows to do to a quantum bit. The reversible operations that a quantum computer can perform on a qubit are group of linear unitary transformations. However, laws of quantum mechanics prohibit implementation of anti-linear anti-unitary gates, even though they are perfectly reversible. Here we show that such a restriction on possible set of reversible operations is, remarkably, a fundamental constraint of spacetime structure. In particular, it will be shown that construction of any anti-linear anti-unitary gate will lead to violation of a fundamental causal primitive which, as we shall argue, is fundamentally different from the principle of relativistic causality.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · Quantum Mechanics and Applications
