Fast and Accurate GHZ Encoding Using All-to-all Interactions
- URL: http://arxiv.org/abs/2406.10336v1
- Date: Fri, 14 Jun 2024 18:00:02 GMT
- Title: Fast and Accurate GHZ Encoding Using All-to-all Interactions
- Authors: Chao Yin,
- Abstract summary: Greenberger-Horne-Zeilinger (GHZ) state is an important resource for quantum technologies.
We consider the task of GHZ encoding using all-to-all interactions.
We propose a fast protocol that achieves GHZ encoding with high accuracy.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The $N$-qubit Greenberger-Horne-Zeilinger (GHZ) state is an important resource for quantum technologies. We consider the task of GHZ encoding using all-to-all interactions, which prepares the GHZ state in a special case, and is furthermore useful for quantum error correction and enhancing the rate of qubit interactions. The naive protocol based on parallelizing CNOT gates takes $\mathrm{O}(1)$-time of Hamiltonian evolution. In this work, we propose a fast protocol that achieves GHZ encoding with high accuracy. The evolution time $\mathrm{O}(\log^2N/N)$ almost saturates the theoretical limit $\Omega(\log N/N)$. Moreover, the final state is close to the ideal encoded one with high fidelity $> 1-10^{-3}$, up to large system sizes $N\lesssim 2000$. The protocol only requires a few stages of time-independent Hamiltonian evolution; the key idea is to use the data qubit as control, and to use fast spin-squeezing dynamics generated by e.g. two-axis-twisting.
Related papers
- Optimizing random local Hamiltonians by dissipation [44.99833362998488]
We prove that a simplified quantum Gibbs sampling algorithm achieves a $Omega(frac1k)$-fraction approximation of the optimum.
Our results suggest that finding low-energy states for sparsified (quasi)local spin and fermionic models is quantumly easy but classically nontrivial.
arXiv Detail & Related papers (2024-11-04T20:21:16Z) - Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution [0.8359711817610189]
Preparation of the ground state of a Hamiltonian $H$ with a large spectral radius has applications in many areas.
We develop a multi-level Quantum Signal Processing (QSP)-based algorithm that exploits the fast-forwarding feature.
arXiv Detail & Related papers (2024-06-04T08:09:51Z) - Towards large-scale quantum optimization solvers with few qubits [59.63282173947468]
We introduce a variational quantum solver for optimizations over $m=mathcalO(nk)$ binary variables using only $n$ qubits, with tunable $k>1$.
We analytically prove that the specific qubit-efficient encoding brings in a super-polynomial mitigation of barren plateaus as a built-in feature.
arXiv Detail & Related papers (2024-01-17T18:59:38Z) - Trade-offs between Entanglement and Communication [5.88864611435337]
We show that quantum simultaneous protocols with $tildeTheta(k5 log3 n)$ qubits of entanglement can exponentially outperform two-way randomized protocols with $O(k)$ qubits of entanglement.
Prior to our work, only a relational separation was known.
arXiv Detail & Related papers (2023-06-02T01:49:39Z) - Spacetime-Efficient Low-Depth Quantum State Preparation with
Applications [93.56766264306764]
We show that a novel deterministic method for preparing arbitrary quantum states requires fewer quantum resources than previous methods.
We highlight several applications where this ability would be useful, including quantum machine learning, Hamiltonian simulation, and solving linear systems of equations.
arXiv Detail & Related papers (2023-03-03T18:23:20Z) - Scalable Quantum Error Correction for Surface Codes using FPGA [67.74017895815125]
A fault-tolerant quantum computer must decode and correct errors faster than they appear.
We report a distributed version of the Union-Find decoder that exploits parallel computing resources for further speedup.
The implementation employs a scalable architecture called Helios that organizes parallel computing resources into a hybrid tree-grid structure.
arXiv Detail & Related papers (2023-01-20T04:23:00Z) - Compression for Qubit Clocks [55.38708484314286]
We propose a compression protocol for $n$ identically prepared states of qubit clocks.
The protocol faithfully encodes the states into $(1/2)log n$ qubits and $(1/2)log n$ classical bits.
arXiv Detail & Related papers (2022-09-14T09:45:53Z) - Ion Trap Long-Range XY Model for Quantum State Transfer and Optimal
Spatial Search [0.5249805590164902]
Linear ion trap chains are a promising platform for quantum computation and simulation.
Lower $alpha$ leads to longer range interactions, allowing faster long-range gate operations for quantum computing.
We show how to correct for this effect completely, allowing lower $alpha$ interactions to be coherently implemented.
arXiv Detail & Related papers (2022-06-28T01:28:51Z) - Optimal State Transfer and Entanglement Generation in Power-law
Interacting Systems [0.5592394503914488]
We present an optimal protocol for encoding an unknown qubit state into a multiqubit Greenberger-Horne-Zeilinger-like state.
The protocol has a wide range of applications, including in quantum sensing, quantum computing, and preparation of topologically ordered states.
arXiv Detail & Related papers (2020-10-06T18:00:02Z) - Quantum Gram-Schmidt Processes and Their Application to Efficient State
Read-out for Quantum Algorithms [87.04438831673063]
We present an efficient read-out protocol that yields the classical vector form of the generated state.
Our protocol suits the case that the output state lies in the row space of the input matrix.
One of our technical tools is an efficient quantum algorithm for performing the Gram-Schmidt orthonormal procedure.
arXiv Detail & Related papers (2020-04-14T11:05:26Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.