PATENT CLAIM ANALYSIS

Application Number: 16433027
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["708", "003000"]

Abstract:
The systems, devices, articles, and methods generally relate to sampling from an available probability distribution. The samples maybe used to create a desirable probability distribution, for instance for use in computing values used in computational techniques including: Importance Sampling and Markov chain Monte Carlo systems. An analog processor may operate as a sample generator, for example by: programming the analog processor with a configuration of the number of programmable parameters for the analog processor, which corresponds to a probability distribution over qubits of the analog processor, evolving the analog processor with a fast ramp operation, and reading out states for the qubits. The state for the qubits may be post processes and/or used to calculate importance weights.

Claim (Index 18):
The computing system of  claim 16  wherein the at least one of processor-executable instructions or data comprise further processor-executable instructions or data which, when executed by the digital processor, cause the digital processor to:\n assign importance weights to the post-processed state i+1 of the analog processor; and \n initialize the analog processor to the post-processed state i+1.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.72368
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15870411', '16308314', '14676605', '14844876', '14829342']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4550630208938065
- 35 USC 102 Novelty (BERT): 0.582878578294118
- Combined Prediction Score: 0.4678445766338376
- Mean Citation Score: 334.045408
- Max Citation Score: 486.25204
- Similarity Product: 372.64523635202886

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test