File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: Optimal quantum compression for identically prepared systems
| Title | Optimal quantum compression for identically prepared systems Optimal quantum compression for large statistical ensembles |
|---|---|
| Authors | |
| Issue Date | 2017 |
| Citation | International Workshop on Quantum Computing and Quantum Information Processing 2017 (QCQIP 2017), Beijing, China, 12-14 November 2017 How to Cite? |
| Abstract | Quantum measurements extract probabilistic data, typically collected from sequences of identically prepared systems. When one such sequence is available, the experimenter can test different complementary observables But how much memory is required to faithfully store all this information in a quantum memory? The question is relevant in many areas, including the design of quantum sensors that collect statistical data and transfer it to a central location, where the data is processed. In this talk I will characterize the minimum amount of memory needed to faithfully store identical sequences of quantum states, showing how the size of the memory grows with the number of particles in the sequence and discussing how much quantum memory can be traded with classical memory. I will conclude by showing an application of quantum compression to high precision measurements of time and frequency. |
| Description | Keynote 9 Jointly Organized by Academy of Mathematics and Systems Science (AMSS) Chinese Academy of Sciences (CAS), Centre for Quantum Software and Information of University of Technology Sydney (UTS:QSI), and Algorithm & Complexity Group at Institute of Computing Technology (ICT), CAS |
| Persistent Identifier | http://hdl.handle.net/10722/269776 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chiribella, G | - |
| dc.date.accessioned | 2019-04-30T03:56:48Z | - |
| dc.date.available | 2019-04-30T03:56:48Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | International Workshop on Quantum Computing and Quantum Information Processing 2017 (QCQIP 2017), Beijing, China, 12-14 November 2017 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/269776 | - |
| dc.description | Keynote 9 | - |
| dc.description | Jointly Organized by Academy of Mathematics and Systems Science (AMSS) Chinese Academy of Sciences (CAS), Centre for Quantum Software and Information of University of Technology Sydney (UTS:QSI), and Algorithm & Complexity Group at Institute of Computing Technology (ICT), CAS | - |
| dc.description.abstract | Quantum measurements extract probabilistic data, typically collected from sequences of identically prepared systems. When one such sequence is available, the experimenter can test different complementary observables But how much memory is required to faithfully store all this information in a quantum memory? The question is relevant in many areas, including the design of quantum sensors that collect statistical data and transfer it to a central location, where the data is processed. In this talk I will characterize the minimum amount of memory needed to faithfully store identical sequences of quantum states, showing how the size of the memory grows with the number of particles in the sequence and discussing how much quantum memory can be traded with classical memory. I will conclude by showing an application of quantum compression to high precision measurements of time and frequency. | - |
| dc.language | eng | - |
| dc.relation.ispartof | International Workshop on Quantum Computation and Quantum Information Processing 2017 (QCQIP 2017) | - |
| dc.title | Optimal quantum compression for identically prepared systems | - |
| dc.title | Optimal quantum compression for large statistical ensembles | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Chiribella, G: giulio@hku.hk | - |
| dc.identifier.authority | Chiribella, G=rp02035 | - |
| dc.identifier.hkuros | 287010 | - |