Quantum state testing beyond the polarizing regime and quantum triangular discrimination
March 03, 2023 Β· Declared Dead Β· π Computational Complexity
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Yupan Liu
arXiv ID
2303.01952
Category
quant-ph: Quantum Computing
Cross-listed
cs.CC,
cs.IT
Citations
6
Venue
Computational Complexity
Last Checked
5 months ago
Abstract
The complexity class Quantum Statistical Zero-Knowledge ($\mathsf{QSZK}$) captures computational difficulties of the time-bounded quantum state testing problem with respect to the trace distance, deciding whether $\mathrm{T}(Ο_0,Ο_1)$ is at least $Ξ±$ or at most $Ξ²$, known as the Quantum State Distinguishability Problem ($\mathrm{QSDP}$) introduced by Watrous (FOCS 2002). However, $\mathrm{QSDP}[Ξ±,Ξ²]$ is in $\mathsf{QSZK}$ only within the constant polarizing regime, where $Ξ±$ and $Ξ²$ are constants satisfying $Ξ±^2 > Ξ²$ (rather than $Ξ±> Ξ²$), similar to its classical counterpart shown by Sahai and Vadhan (JACM 2003) due to the polarization lemma (error reduction for $\mathrm{SDP}$). Recently, Berman, Degwekar, Rothblum, and Vasudevan (TCC 2019) extended the $\mathsf{SZK}$ containment of $\mathrm{SDP}$ beyond the polarizing regime via the time-bounded distribution testing problems with respect to the triangular discrimination and the Jensen-Shannon divergence. Our work introduces proper quantum analogs for these problems by defining quantum counterparts for triangular discrimination. We investigate whether the quantum analogs behave similarly to their classical counterparts and examine the limitations of existing approaches to polarization regarding quantum distances. These new $\mathsf{QSZK}$-complete problems improve $\mathsf{QSZK}$ containments of $\mathrm{QSDP}$ beyond the polarizing regime and establish a simple $\mathsf{QSZK}$-hardness for the quantum entropy difference problem ($\mathrm{QEDP}$) defined by Ben-Aroya, Schwartz, and Ta-Shma (ToC 2010). Furthermore, we prove that $\mathrm{QSDP}$ with some exponentially small errors is in $\mathsf{PP}$, while the same problem without error is in $\mathsf{NQP}$.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Quantum Computing
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Quantum machine learning: a classical perspective
R.I.P.
π»
Ghosted
Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers
R.I.P.
π»
Ghosted
ProjectQ: An Open Source Software Framework for Quantum Computing
R.I.P.
π»
Ghosted
Quantum Recommendation Systems
R.I.P.
π»
Ghosted
Traffic flow optimization using a quantum annealer
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted