scholarly journals Full intuitive creativity is a collective work of the quantum computer of our subconscious and the digital computer of our conscious

2018 ◽  
Vol 7 (5) ◽  
Author(s):  
Maria Kuman
Keyword(s):  
Digital Computer ◽  
Quantum Computer ◽  
Collective Work

scholarly journals MODELING FULL ADDER IN ISING SPIN QUANTUM COMPUTER WITH 1000 QUBITS USING QUANTUM MAPS

2004 ◽  
Vol 02 (03) ◽  
pp. 323-340 ◽  
Author(s):  
D. I. KAMENEV ◽  
G. P. BERMAN ◽  
R. B. KASSMAN ◽  
V. I. TSIFRINOVICH
Keyword(s):  
Digital Computer ◽  
Quantum Computer ◽  
Quantum Algorithms ◽  
Phase Error ◽  
Full Adder ◽  
Ising Spin ◽  
Spin Quantum ◽  
Resonant Transitions ◽  
Radio Frequency Pulses ◽  
Complex Algorithm

The quantum adder is an essential attribute of a quantum computer, just as classical adder is needed for operation of a digital computer. We model the quantum full adder as a realistic complex algorithm on a large number of qubits in an Ising spin quantum computer. Our results are an important step toward effective modeling of the quantum modular adder which is needed for Shor's and other quantum algorithms. Our full adder has the following features. (i) The near-resonant transitions with small detunings are completely suppressed, which allows us to decrease errors by several orders of magnitude and to model a 1000-qubit full adder. (We add a 1000-bit number using 2001 spins.) (ii) We construct the full adder gates directly as sequences of radio-frequency pulses, rather than breaking them down into generalized logical gates, such as Control-Not and one qubit gates. This substantially reduces the number of pulses needed to implement the full adder. (The maximum number of pulses required to add one bit (F-gate) is 15.) (iii) Full adder is realized in a homogeneous spin chain. (iv) The phase error is minimized: the F-gates generate approximately the same phase for different states of the superposition. (v) Modeling of the full adder is performed using quantum maps instead of differential equations. This allows us to reduce the calculation time to a reasonable value.

scholarly journals Derivation of Quantum Guarded Command Language Program for Average

d'CARTESIAN ◽  
2015 ◽  
Vol 4 (2) ◽  
pp. 163
Author(s):  
Cherry Telap ◽  
Benny Pinontoan ◽  
Jullia Titaley
Keyword(s):  
Programming Language ◽  
Digital Computer ◽  
Quantum Computer ◽  
Superposition State ◽  
Language Program ◽  
Command Language ◽  
Quantum Bits ◽  
Average Value ◽  
Made In

Has conducted research to determine the derivation of quantum guarded command language (qGCL) program for average. Initially calculation of average value was made in guaded command language (GCL) which is then implemented on a digital computer into the Pascal programming language. Furthermore GCL to calculate the average value was analyzed again to be made in the quantum guarded command language (qGCL). qGCL implementation is on a quantum computer is a future computer could perform calculations very quickly because it uses a superposition state is referred to as quantum bits (qubits). Keywords : GCL, qGCL, Quantum Computer

Predicting the Effect of Tire Tread Pattern Design on Thick Film Wet Traction

1977 ◽  
Vol 5 (1) ◽  
pp. 6-28 ◽  
Author(s):  
A. L. Browne
Keyword(s):  
Experimental Data ◽  
Network Design ◽  
Thick Film ◽  
Digital Computer ◽  
Analytical Tool ◽  
Design Practice ◽  
Pattern Design ◽  
Performance Results ◽  
Good Agreement

Abstract An analytical tool is presented for the prediction of the effects of changes in tread pattern design on thick film wet traction performance. Results are reported for studies in which the analysis, implemented on a digital computer, was used to determine the effect of different tread geometry features, among these being the number, width, and lateral spacing of longitudinal grooves and the angle of zigzags in longitudinal grooves, on thick film wet traction. These results are shown to be in good agreement with experimental data appearing in the literature and are used to formulate guidelines for tread groove network design practice.

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