PATENT CLAIM ANALYSIS

Application Number: 16067428
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["708", "517000"]

Abstract:
Methods, systems, and apparatus for quantum phase estimation. In one aspect, an apparatus includes a quantum circuit comprising: a first quantum register comprising at least one ancilla qubit, a second quantum register comprising one or more qubits, wherein the second quantum register is prepared in a quantum state that is not an eigenstate of a unitary operator operating on the first and second quantum register; and a phase learning system, configured to learn phases of the eigenvalues of the unitary operator.

Claim (Index 9):
The method of  claim 4 , wherein the mixture model that represents the probabilities of the values of the binary random variable is given by p \ue8a0 ( Z anc | a k , \u03c6 k ; M , \u03b8 ) = log \ue89e \u2211 k = 0 2 N - 1 \ue89e a k \ue8a0 ( 1 - cos \ue8a0 ( M \ue89e \ue89e \u03c6 k + \u03b8 ) 2 ) \u03b4 \ue8a0 ( Z anc = 1 ) \ue89e ( 1 + cos \ue8a0 ( M \ue89e \ue89e \u03c6 k + \u03b8 ) 2 ) \u03b4 \ue8a0 ( Z anc = 0 ) wherein Z anc  represents the value of the state of the ancilla qubit, a k =| k|\u03c8 | 2  with |\u03c8  the quantum state and |k  a k-th eigenstate of the unitary operator, \u03d5 k  represents the phase of the eigenvalue corresponding to the k-th eigenstate |k  of the unitary operator, M represents a number of applications of the unitary operator, \u03b8 represents an angle of rotation applied by the phase gate, N represents the number of qubits in the second register and \u03b4 represents a Kronecker delta.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 94.0
- Lexical Diversity: 1.78431
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15316500', '13917497', '15034596', '10628128', '11407600']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4765694311895101
- 35 USC 102 Novelty (BERT): 0.512154157670011
- Combined Prediction Score: 0.4801279038375602
- Mean Citation Score: 243.74019400000003
- Max Citation Score: 260.28897
- Similarity Product: 176.19653082535743

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