Efficient methods for one-shot quantum communication
Anurag Anshu, Rahul Jain

TL;DR
This paper introduces efficient quantum communication methods using new convex-split lemma variants and classical sampling techniques, enabling low-depth, resource-efficient protocols for decoupling and channel coding.
Contribution
It presents novel methods for quantum protocol implementation, reducing resource requirements and circuit complexity for decoupling and quantum communication tasks.
Findings
Decoupling can be achieved by basis-preserving unitaries with O(n log n) size and logarithmic depth.
New one-shot entanglement-assisted protocol achieves near-optimal quantum communication with exponentially less entanglement.
Circuit complexity of integer multiplication modulo a prime is linked to decoupling circuit complexity.
Abstract
We address the question of efficient implementation of quantum protocols, with small communication and entanglement, and short depth circuit for encoding or decoding. We introduce two new methods to achieve this, the first method involving two new versions of convex-split lemma that use small amount of additional resource (in comparison to prior version) and the second method being inspired by the technique of classical correlated sampling in computer science. These lead to a series of new consequences, as follows. First, we consider the task of quantum decoupling, where the aim is to apply an operation on a n-qubit register so as to make it independent of an inaccessible quantum system. Many previous works achieve decoupling with the aid of a random unitary. It is known that random unitaries can be replaced by random circuits of size O(n\log n) and depth poly(\log n), or unitary…
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 · Stochastic Gradient Optimization Techniques · Quantum-Dot Cellular Automata
