Name
Abstract | ||
|---|---|---|
•Our protocol has a stronger privacy for big data since all quantum inputs and algorithms are encrypted by one-time-pad both in measurement-based process and circuit-based process. It is the reason that our protocol is called ‘blind’.•Our protocol first mergers two processes: measurement-based process and circuit-based process. The cluster states only need to realize entangled gates determinately, so we don’t need a large-scale entangled state.•In our protocol, Alice has less workload than others since she only needs to measure trap qubits appearing in the final column of the graph state in Fig. 4. Therefore, our protocol can tackle the two problems theoretically: generating a large-scale entangled state in experiment and realizing the probabilistically successful entangled gates. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2019.05.057 | Information Sciences |
Keywords | Field | DocType |
Blind quantum computation (BQC),Measurement-based BQC model,Circuit-based BQC model,Blindness,Verifiability | Correctness,Quantum computer,Theoretical computer science,Deterministic method,Artificial intelligence,Electronic circuit,Private information retrieval,Blindness,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
498 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqian Zhang | 1 | 7 | 4.55 |
| Weiqi Luo | 2 | 0 | 0.68 |
| Guo-Qiang Zeng | 3 | 11 | 1.86 |
| Jian Weng | 4 | 181 | 16.46 |
| Yaxi Yang | 5 | 0 | 0.34 |
| Min-Rong Chen | 6 | 397 | 23.92 |
| Xiaoqing Tan | 7 | 0 | 0.34 |