Device and method for responding to influences of mind

• US 20090265112A1
• Filed: 07/21/2006
• Published: 10/22/2009
• Est. Priority Date: 07/22/2005
• Status: Active Grant

• Current Assignee: Psigenics Corporation
• Original Assignee: Psigenics Corporation
• Inventors: Jensen, Christopher B., Wilber, Patrick A., Wilber, Scott A.
• Granted Patent: US 8,073,631 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: B82Y 10/00 Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic
• CPC Class Codes: G06F 7/588 Random number generators, i.e. based on natural stochastic processes
• CPC Class Codes: G06N 10/00 Quantum computing, i.e. information processing based on quantum-mechanical phenomena

Abstract

In the field of direct mind-machine interactions, prior art devices and methods do not provide sufficiently fast and reliable results. Mental influence detectors (100, 140, 400, 430) and corresponding methods provide fast and reliable results useful for detecting an influence of mind and hidden or classically non-inferable information. An anomalous effect detector (100) includes a source (104) of non-deterministic random numbers (110), a converter (114) to convert a property of numbers, a processor to accept converter output (118) and to produce an output signal (124) representative of an influence of mind. The processor output signal (124) contains fewer numbers than the input (110). A quantum computer (400) includes a physical source of entropy (404) to generate output numbers (405); a source (406) of test numbers (407); a measurement processor 410) to accept output numbers (405) and to measure a relationship between process numbers and at least one test number to produce an output (414) representative of an influence of mind.

Claims

1-166. -166. (canceled)

167. A method of detecting an influence of mind, comprising:

providing input numbers from a source of non-deterministic random numbers;

converting a property of said input numbers into a converter output representative of said property;

producing a processor output signal representative of an influence of mind by processing said converter output, wherein said processor output signal contains fewer numbers than said input numbers; and

communicating said processor output signal.

168. A method of detecting an influence of mind as in claim 167 wherein said providing said input numbers comprises:

reducing a statistical defect in said input numbers.

169. A method of detecting an influence of mind as in claim 168 wherein:

said reducing a statistical defect reduces bias in said input numbers to less than 10 ppm and reduces autocorrelation of any order in said input numbers to less than 10 ppm.

170. A method of detecting an influence of mind as in claim 167 wherein said providing input numbers comprises:

generating input numbers having a bias less than 10 ppm and an autocorrelation less than 10 ppm for any order.

171. A method of detecting an influence of mind as in claim 167 wherein:

said converting a property of said input numbers comprises at least one step of converting selected from the group consisting of;

converting a cross-correlation to a bias, converting a mutual bias to a bias, and converting runs to a bias.

172. A method of detecting an influence of mind as in claim 167 wherein said converting a property of said input numbers comprises:

amplifying a bias of said input numbers.

173. A method of detecting an influence of mind as in claim 172 wherein said amplifying a bias comprises:

performing a truth table bias function.

174. A method of detecting an influence of mind as in claim 172 wherein said amplifying a bias comprises:

performing a bounded random walk.

175. A method of detecting an influence of mind as in claim 167 wherein said converting a property of said input numbers comprises:

converting a cross-correlation between a plurality of simultaneously generated input numbers into a bias contained in a cross-correlation converter output.

176. A method of detecting an influence of mind as in claim 167 wherein said converting a property of said input numbers comprises:

converting autocorrelation in said input numbers into a bias contained in an autocorrelation converter output.

177. A method of detecting an influence of mind as in claim 167, further comprising:

providing at least one test number to said processor;

measuring a relationship between said converter output in said processor and said at least one test number to produce a relationship measurement; and

in said processor, abstracting said relationship measurement to provide an enhanced output signal representative of said influence of mind.

178. A method of detecting an influence of mind as in claim 177 wherein said providing said at least one test number comprises:

providing test numbers having a fixed pattern.

179. A method of detecting an influence of mind as in claim 177, further comprising:

initiating a detection of said influence of mind using an initiator; and

wherein said providing said at least one test number comprises providing at least one test number before said initiating said detection.

180. A method of detecting an influence of mind as in claim 177, further comprising:

initiating a detection of said influence of mind using an initiator;

wherein said providing said at least one test number comprises providing at least one test number after said converting a property of said input numbers into a converter output.

181. A method of detecting an influence of mind as in claim 167 wherein said providing said input numbers comprises:

providing input numbers from a source of non-deterministic random numbers located in an integrated circuit.

182. A method of detecting an influence of mind as in claim 181 wherein said providing input numbers comprises:

using an independent ring oscillator.

183. A method of detecting an influence of mind as in claim 167, further comprising:

initiating a detection of said influence of mind.

184. A method of detecting an influence of mind as in claim 183 comprising:

receiving a conditioned physiological measurement to initiate a detection.

185. A method of detecting an influence of mind as in claim 183 comprising:

receiving an output from an influence-of-mind detector to initiate a detection.

186. A method of detecting an influence of mind as in claim 183 wherein said detection is initiated automatically and periodically.

187. An influence-of-mind detector, comprising:

a source of non-deterministic random numbers;

a converter operable to accept input numbers from said source and to convert a property of said input numbers into a converter output containing bias representative of said property;

a processor that is operable to accept said converter output and to produce a processor output signal representative of an influence of mind;

wherein said processor output signal contains fewer numbers than said input numbers; and

an interface that is operable to communicate said processor output signal.

188. An influence-of-mind detector as in claim 187 wherein said source of non-deterministic random numbers comprises:

a randomness corrector.

189. An influence-of-mind detector as in claim 187 wherein said converter comprises:

a bias amplifier that is operable to amplify bias of said input numbers.

190. An influence-of-mind detector as in claim 187 wherein said converter comprises:

an autocorrelation converter that is operable to convert autocorrelation in said input numbers into a bias that is contained in an autocorrelation converter output.

191. An influence-of-mind detector as in claim 187, further comprising:

a source of test numbers; and

wherein

said processor is operable to measure a relationship between said converter output in said processor and at least one test number to produce a relationship measurement; and

said processor is further operable to abstract said relationship measurement to provide an enhanced output signal representative of said influence of mind.

192. An influence-of-mind detector as in claim 187 wherein said source of non-deterministic random numbers is located in an integrated circuit.

193. An influence-of-mind detector as in claim 192 wherein said source of non-deterministic random numbers comprises:

an independent ring oscillator.

194. An influence-of-mind detector as in claim 187, further comprising;

an initiator that is operable to initiate a detection of an influence of mind.

195. A method of using a quantum computer that is responsive to an influence of mind, comprising:

generating output numbers using physical sources of entropy, which sources are at least partially entangled;

processing a relationship between said output numbers to produce a result representative of an influence of mind; and

communicating said result.

196. A quantum computer for responding to an influence of mind, comprising:

a plurality of physical sources of entropy operable to generate output numbers, said physical sources being at least partially entangled;

a processor, said processor being operable to process a relationship between said output numbers to produce a result representative of an influence of mind; and

an interface that is operable to communicate said result.