Quantum Circuits in Additive Hilbert Space
arXiv:2111.01211
Abstract
Representations of quantum computations are almost always based on a tensor product -structure. This coincides with what we are able to execute in our experiments, as well as what we observe in Nature, but it makes certain familiar quantum primitives convoluted. Reversible classical circuits, diagonal operations or controlled unitaries all have very elegant and simple matrix representations that cannot be expressed succinctly as a circuit in a simple gate set, complicating quantum algorithm design and circuit optimization. We propose a new additive presentation of quantum computation to address this. We show how conventional circuits can be expressed in the additive space and how they can be recovered. In particular in our formalism we are able to synthesize high-level multi-controlled primitives from low-level circuit decompositions, making it an invaluable tool for circuit optimization. Our formulation also accepts a circuit-like diagrammatic representation and proposes a novel and simple interpretation of quantum computation.
arXiv comment16 pages, 8 figures
References in corpus (16)
- Quantum Computing in the NISQ era and beyond
- Quantum information with Rydberg atoms
- Simulated Quantum Computation of Molecular Energies
- High-fidelity preparation, gates, memory and readout of a trapped-ion quantum bit
- A meet-in-the-middle algorithm for fast synthesis of depth-optimal quantum circuits
- On the advantages of using relative phase Toffolis with an application to multiple control Toffoli optimization
- Efficient Arbitrary Simultaneously Entangling Gates on a trapped-ion quantum computer
- There and back again: A circuit extraction tale
- Interacting Hopf Algebras
- On the qubit routing problem
- Efficient decomposition of unitary matrices in quantum circuit compilers
- Phase polynomials synthesis algorithms for NISQ architectures and beyond
- Introduction to UniversalQCompiler
- QGo: Scalable Quantum Circuit Optimization Using Automated Synthesis
- lambeq: An Efficient High-Level Python Library for Quantum NLP
- Towards Normal Forms for GHZ/W Calculus