JPWO2021028738A5 - - Google Patents
Download PDFInfo
- Publication number
- JPWO2021028738A5 JPWO2021028738A5 JP2022507553A JP2022507553A JPWO2021028738A5 JP WO2021028738 A5 JPWO2021028738 A5 JP WO2021028738A5 JP 2022507553 A JP2022507553 A JP 2022507553A JP 2022507553 A JP2022507553 A JP 2022507553A JP WO2021028738 A5 JPWO2021028738 A5 JP WO2021028738A5
- Authority
- JP
- Japan
- Prior art keywords
- values
- value
- computer
- converting
- processors
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000001953 sensory effect Effects 0.000 claims 20
- 238000000034 method Methods 0.000 claims 12
- 238000004590 computer program Methods 0.000 claims 5
- 230000001131 transforming effect Effects 0.000 claims 5
- 239000002096 quantum dot Substances 0.000 claims 2
Claims (16)
１つまたは複数のプロセッサによって、前記キュービットに基づいてブロッホ球における点を決定することであって、前記点は、前記ブロッホ球のｚ軸に対する余緯度（シータ）の値と、前記ブロッホ球のｘ軸に対する経度（ファイ）の値とによって定義される、前記決定することと、
１つまたは複数のプロセッサによって、前記余緯度（シータ）の値を感覚出力空間の第１の変数の値に変換することと、
１つまたは複数のプロセッサによって、前記経度（ファイ）の値を前記感覚出力空間の第２の変数の値に変換することと、を含む、コンピュータ実装方法。 A computer-implemented method for generating a sensory representation of a qubit, comprising:
Determining, by one or more processors, a point on the Bloch sphere based on the qubits, the point being a co-latitude (theta) value with respect to the z-axis of the Bloch sphere and a value of longitude (phi) relative to the x-axis;
converting, by one or more processors, the co-latitude (theta) values to values of a first variable in sensory output space;
converting, by one or more processors, the longitude (phi) values to values of a second variable in the sensory output space.
１つまたは複数のプロセッサによって、前記第３の変数の値は所定の定数値に等しいと決定することと、をさらに含む、請求項１に記載のコンピュータ実装方法。 determining, by one or more processors, that the sensory output space includes a third variable;
2. The computer-implemented method of claim 1, further comprising determining, by one or more processors, that the value of the third variable is equal to a predetermined constant value.
１つまたは複数のプロセッサによって、前記余緯度（シータ）の値を前記感覚出力空間の第１の変数の値に変換することは、前記余緯度（シータ）の値を前記ＨＳＶ空間の明度の値に変換することを含み、
１つまたは複数のプロセッサによって、前記経度（ファイ）の値を前記感覚出力空間の第２の変数の値に変換することは、前記経度（ファイ）の値を前記ＨＳＶ空間の色相の値に変換することを含む、請求項３に記載のコンピュータ実装方法。 the sensory output space comprises a hue-saturation-value (HSV) space;
Transforming the co-latitude (theta) values into values of a first variable in the sensory output space by one or more processors converts the co-latitude (theta) values into lightness values in the HSV space. including converting to
Converting, by one or more processors, the longitude (phi) values to values of a second variable in the sensory output space converts the longitude (phi) values to hue values in the HSV space. 4. The computer-implemented method of claim 3, comprising:
１つまたは複数のプロセッサによって、前記経度（ファイ）の値を前記ＨＳＶ空間の色相の値に変換することは、前記経度（ファイ）の値を２πで除算することを含む、請求項４に記載のコンピュータ実装方法。 converting the co-latitude (theta) values to the HSV space lightness values by one or more processors comprises dividing the co-latitude (theta) values by π;
5. The method of claim 4, wherein converting, by one or more processors, the longitude (phi) values to hue values in the HSV space comprises dividing the longitude (phi) values by 2π. computer-implemented method.
１つまたは複数のプロセッサによって、前記経度（ファイ）の値を前記感覚出力空間の第２の変数の値に変換することは、前記経度（ファイ）の値を音の第２の異なるパラメータの値に変換することを含む、請求項１に記載のコンピュータ実装方法。 Transforming the co-latitude (theta) values into values of a first variable in the sensory output space by one or more processors converts the co-latitude (theta) values into values of a first parameter of sound. including converting to a value,
Transforming, by one or more processors, the longitude (phi) values into values of a second variable in the sensory output space converts the longitude (phi) values into values of a second, different parameter of sound. 2. The computer-implemented method of claim 1, comprising converting to .
１つまたは複数のプロセッサによって、前記経度（ファイ）の値を前記感覚出力空間の第２の変数の値に変換することは、前記経度（ファイ）の値を前記触覚出力の第２の異なるパラメータの値に変換することを含む、請求項１に記載のコンピュータ実装方法。 Transforming the co-latitude (theta) values into values of a first variable in the sensory output space by one or more processors converts the co-latitude (theta) values into a first parameter of haptic output. including converting to the value of
Transforming, by one or more processors, the longitude (phi) values into values of a second variable in the sensory output space includes converting the longitude (phi) values into values of a second, different parameter of the haptic output. 2. The computer-implemented method of claim 1, comprising converting to a value of .
１つまたは複数のコンピュータ・プロセッサと、
１つまたは複数のコンピュータ可読記憶媒体と、
コンピュータ・プログラム命令と、を含み、
前記コンピュータ・プログラム命令は、前記１つまたは複数のコンピュータ・プロセッサによって実行するために前記１つまたは複数のコンピュータ可読記憶媒体に記憶され、
前記コンピュータ・プログラム命令は、
前記キュービットに基づいてブロッホ球における点を決定する命令であって、前記点は、前記ブロッホ球のｚ軸に対する余緯度（シータ）の値と、前記ブロッホ球のｘ軸に対する経度（ファイ）の値とによって定義される、前記決定する命令と、
前記余緯度（シータ）の値を感覚出力空間の第１の変数の値に変換する命令と、
前記経度（ファイ）の値を前記感覚出力空間の第２の変数の値に変換する命令と、を含む、コンピュータ・システム。 A computer system for generating sensory representations of qubits, comprising:
one or more computer processors;
one or more computer readable storage media;
computer program instructions;
the computer program instructions are stored on the one or more computer readable storage media for execution by the one or more computer processors;
The computer program instructions are
instructions for determining a point on the Bloch sphere based on the qubit, the point being a value of co-latitude (theta) with respect to the z-axis of the Bloch sphere and a longitude (phi) with respect to the x-axis of the Bloch sphere. the instruction to determine, defined by a value;
an instruction to convert the co-latitude (theta) value to a value of a first variable in sensory output space;
and instructions for converting said longitude (phi) values to values of a second variable in said sensory output space.
前記第３の変数の値は所定の定数値に等しいと決定するプログラム命令と、をさらに含む、請求項１２に記載のコンピュータ・システム。 program instructions for determining that the sensory output space includes a third variable;
13. The computer system of claim 12, further comprising program instructions for determining that the value of said third variable is equal to a predetermined constant value.
前記余緯度（シータ）の値を前記感覚出力空間の第１の変数の値に変換する前記プログラム命令は、前記余緯度（シータ）の値を前記ＨＳＶ空間の明度の値に変換する命令を含み、
前記経度（ファイ）の値を前記感覚出力空間の第２の変数の値に変換する前記プログラム命令は、前記経度（ファイ）の値を前記ＨＳＶ空間の色相の値に変換する命令を含む、請求項１２に記載のコンピュータ・システム。 the sensory output space comprises a hue-saturation-value (HSV) space;
The program instructions for converting the co-latitude (theta) value to a value of a first variable in the sensory output space include instructions for converting the co-latitude (theta) value to a lightness value in the HSV space. ,
4. The program instructions for converting the longitude (phi) values to values of a second variable in the sensory output space include instructions for converting the longitude (phi) values to hue values in the HSV space. Item 13. The computer system of Item 12.
前記経度（ファイ）の値を前記ＨＳＶ空間の色相の値に変換する前記プログラム命令は、前記経度（ファイ）の値を２πで除算する命令を含む、請求項１４に記載のコンピュータ・システム。 the program instructions for converting the co-latitude (theta) values to the HSV space lightness values include instructions to divide the co-latitude (theta) values by π;
15. The computer system of claim 14, wherein the program instructions for converting the longitude (phi) values to the HSV space hue values include instructions for dividing the longitude (phi) values by 2[pi].
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/537,736 | 2019-08-12 | ||
| US16/537,736 US20210049491A1 (en) | 2019-08-12 | 2019-08-12 | Qubit sensory representation |
| PCT/IB2020/056258 WO2021028738A1 (en) | 2019-08-12 | 2020-07-02 | Qubit sensory representation |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022544371A JP2022544371A (en) | 2022-10-18 |
| JPWO2021028738A5 true JPWO2021028738A5 (en) | 2022-12-20 |
| JP7493583B2 JP7493583B2 (en) | 2024-05-31 |
Family
ID=74566936
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022507553A Active JP7493583B2 (en) | 2019-08-12 | 2020-07-02 | Qubit's sensory expression |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20210049491A1 (en) |
| JP (1) | JP7493583B2 (en) |
| CN (1) | CN114127701B (en) |
| DE (1) | DE112020003278T5 (en) |
| GB (1) | GB2600283A (en) |
| WO (1) | WO2021028738A1 (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114861927B (en) * | 2022-07-04 | 2022-11-15 | 深圳市永达电子信息股份有限公司 | Von computer Boolean digital logic-based digital quantum state operation method |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7836007B2 (en) * | 2006-01-30 | 2010-11-16 | Hewlett-Packard Development Company, L.P. | Methods for preparing entangled quantum states |
| US9633313B2 (en) * | 2013-03-14 | 2017-04-25 | Microsoft Technology Licensing, Llc | Method and system that implement a V-gate quantum circuit |
| CN106462808B (en) * | 2014-06-06 | 2019-05-14 | 微软技术许可有限责任公司 | Quantum algorithm for the synthesis of arithmetic sum function |
| CN107683460B (en) * | 2015-05-05 | 2022-01-28 | 凯恩迪股份有限公司 | QUANTON representation of analog quantum sample computation on a legacy processor |
| US10572814B2 (en) * | 2016-01-15 | 2020-02-25 | Wisconsin Alumni Research Foundation | System and method for quantum computation using symmetrical charge qubits |
| EP3414583A4 (en) * | 2016-02-12 | 2019-10-30 | Yale University | Techniques for control of quantum systems and related systems and methods |
| US20180046933A1 (en) * | 2016-08-11 | 2018-02-15 | Board Of Regents, The University Of Texas System | System and method for controlling a quantum computing emulation device |
| WO2018236922A1 (en) * | 2017-06-19 | 2018-12-27 | Rigetti & Co, Inc. | Parametrically activated quantum logic gates |
| US9940586B1 (en) * | 2017-07-25 | 2018-04-10 | Northrop Grumman Systems Corporation | Encoding two-qubit interactions |
| JP2021524229A (en) * | 2018-05-16 | 2021-09-13 | カタログ テクノロジーズ， インコーポレイテッド | Compositions and Methods for Nucleic Acid-Based Data Storage |
| US11301770B2 (en) * | 2018-05-31 | 2022-04-12 | Oti Lumionics Inc. | Methods and systems for solving a problem on a quantum computer |
| WO2019244078A1 (en) * | 2018-06-20 | 2019-12-26 | equal1.labs Inc. | Quantum structure incorporating electric and magnetic angle control |
| US11531922B2 (en) * | 2018-09-27 | 2022-12-20 | Intel Corporation | Apparatus and method for scalable qubit addressing |
| US11176478B2 (en) * | 2019-02-21 | 2021-11-16 | International Business Machines Corporation | Method for estimating a quantum phase |
| US10963125B2 (en) * | 2019-03-18 | 2021-03-30 | Microsoft Technology Licensing, Llc | Visualization tool for interacting with a quantum computing program |
-
2019
- 2019-08-12 US US16/537,736 patent/US20210049491A1/en active Pending
-
2020
- 2020-07-02 WO PCT/IB2020/056258 patent/WO2021028738A1/en active Application Filing
- 2020-07-02 JP JP2022507553A patent/JP7493583B2/en active Active
- 2020-07-02 GB GB2200583.9A patent/GB2600283A/en not_active Withdrawn
- 2020-07-02 CN CN202080051057.8A patent/CN114127701B/en active Active
- 2020-07-02 DE DE112020003278.7T patent/DE112020003278T5/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7246392B2 (en) | Simultaneous Training of Functional Subnetworks of Neural Networks | |
| JP2019003615A (en) | Learning autoencoder | |
| JP2019032820A (en) | Data set for learning functions with image as input | |
| Harries et al. | CAESES—The HOLISHIP platform for process integration and design optimization | |
| CN108830000B (en) | VTK-based carrier rocket structure finite element analysis visualization method | |
| JP2004157805A (en) | Schedule development method, program, and task schedule development device | |
| JPWO2021028738A5 (en) | ||
| GB2600283A (en) | Qubit sensory representation | |
| US11605200B2 (en) | System for optimizing a 3D mesh | |
| Zimmermann et al. | A computational design synthesis method for the generation of rigid origami crease patterns | |
| Schreiber et al. | Shared memory parallelization of fully-adaptive simulations using a dynamic tree-split and-join approach | |
| Duvall et al. | Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations | |
| Neuman et al. | Performalism: A manifesto for architectural performance | |
| Jungmann et al. | Automatic composition of service-based image processing applications | |
| Klironomos et al. | ExeKGLib: knowledge graphs-empowered machine learning analytics | |
| KR102248468B1 (en) | Color coordinate providing apparatus | |
| Beiresh et al. | The system for modeling and visualizing 3D algebraic functions | |
| Machowski et al. | Nano Version Control and the Repo as the Next Data Structure in Computer Science and Artificial Intelligence | |
| Xin et al. | Trend of Artificial Intelligence Aided Industrial Design | |
| Kauffman | The unknotting problem | |
| Banerjee | Data interface software for windows PC-compatible virtual reality scene graphs | |
| Sivakumar et al. | Fuzzy Mathematical Approach for Solving Multi-Objective Fuzzy Linear Fractional Programming Problem with Trapezoidal Fuzzy Numbers. | |
| Parthornratt et al. | Cloud-based PiFrame for Customer Counting Using RaspberryPi | |
| Carvalko Jr et al. | Knowledge-About | |
| Hollister | The SNAME OpenCalc System |