Quick Navigation

Topics

Trapped Ion Quantum Computing Quantum Chemistry

Preparation of Logically Labeled Pure States with Only Two Turns for Bulk Quantum Computation

arXiv
Authors: Tao Xin, Liang Hao, Shi-Yao Hou, Guan-Ru Feng, Gui-Lu Long

Year

2017

Paper ID

45005

Status

Preprint

Abstract Read

~2 min

Abstract Words

140

Citations

N/A

Abstract

Quantum state preparation plays an equally important role with quantum operations and measurements in quantum information processing. The previous methods of preparing initial state for bulk quantum computation all have inevitable disadvantages, such as, requiring multiple experiments, causing loss of signals, or requiring molecules with restrictive structure. In this work, three kinds of quantum circuits are introduced to prepare the pseudo-pure states of (n-1) qubits in the Hilbert space of n coupled spins which merely need the assist of one ancilla spin and two experiments independent of n. Being without gradient fields effectively avoids the reduction of the signals. Our methods have no special requirements on the structure of the used molecules. To test these methods more comprehensively, we experimentally demonstrate the preparation of the labeled pseudo-pure states using heteronuclear 2-qubit and homonuclear 4-qubit nuclear magnetic resonance quantum information processor.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #45005 #67340 Ultra-sensitive solid-state org... #67337 Parameterization and optimizabi... #67360 Quadrupolar resonance spectrosc... #67353 Operational Framework for a Qua...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.