• No results found

Tensor Network States: Optimizations and Applications in Quantum Many-Body Physics and Machine Learning

N/A
N/A
Protected

Academic year: 2021

Share "Tensor Network States: Optimizations and Applications in Quantum Many-Body Physics and Machine Learning"

Copied!
152
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 2.3: A graphical representation of a CNN taking in one-dimensional input, applying a convolution filter of size three, and a pooling filter of size two
Figure 3.1: Circuit diagrams and truth tables for the NOT gate (a), the OR gate (b), and the AND gate (c)
Figure 3.3: Circuit diagrams and truth tables for the CNOT gate (a), and the Toffoli gate (b)
Figure 4.4: Results for the time to complete the contraction of square TN lattices sized L = [5, 10].
+7

References

Related documents

Pedestrian survey respondents’ places of residence – Scale: Greater Toronto Area (Source data: Google

While patterns of communication may vary according to our personal style and family and cultural background, being able to express our values, opinions, feelings, and dreams

In this study, conservative treatments including Compound Troxerutin and Poreine Cerebroside Injection, NSAIDs, bisphosphonates, corticoste- roids and the thoracolumbar brace

Use of a stan- dard evaluation task adopted by other authors has allowed di- rect comparison with other sound event recognition systems, and has revealed that the proposed

e-mail remote terminal access Web file transfer streaming multimedia Internet telephony Application layer protocol SMTP [RFC 2821] Telnet [RFC 854] HTTP [RFC 2616] FTP

Joh Barth & Sohn, Nuremberg,

In order to process both short-running queries and long-running queries efficiently, we introduce an adaptive query execution scheme that makes the scheduling decision either

Maximum discharge on control points (Q10) No.. c) Simulation result on flood routing with return period of 10 years and variation of side spillway location on