Exact quantum query complexity
... where we numerically evaluated the best possible success probability of quantum algorithms for all boolean functions on up to 4 bits (and all symmetric boolean function on up to 6 bits). This can be done using a semidefinite programming (SDP) formulation of quantum query complexity due to [Barnum, S ...
... where we numerically evaluated the best possible success probability of quantum algorithms for all boolean functions on up to 4 bits (and all symmetric boolean function on up to 6 bits). This can be done using a semidefinite programming (SDP) formulation of quantum query complexity due to [Barnum, S ...
Relativistic Description of Two-body Scattering
... together and interact by exchanging energy and momentum via the field quanta and then separate from one another to a distant future. However, this essay is aimed at describing the scattering process of two fermions, namely, the electron and the proton, which interact electromagnetically by exchangin ...
... together and interact by exchanging energy and momentum via the field quanta and then separate from one another to a distant future. However, this essay is aimed at describing the scattering process of two fermions, namely, the electron and the proton, which interact electromagnetically by exchangin ...
Toward Quantum Computational Agents.
... 1990’s by use of, for example, nuclear magnetic resonance [43], and solid state technologies such as that of neighbouring quantum dots implanted in regions of silicon based semiconductor on the nanometer scale [27]. As things are now, they work for up to several tens of qubits. Whether large-scale f ...
... 1990’s by use of, for example, nuclear magnetic resonance [43], and solid state technologies such as that of neighbouring quantum dots implanted in regions of silicon based semiconductor on the nanometer scale [27]. As things are now, they work for up to several tens of qubits. Whether large-scale f ...
Stability and dynamical property for two
... initial state 共za , zb兲 = 共1 , −1兲 is quite different. As shown in Fig. 4, the fixed point An approaches the unstable region II as Jef f increases from zero. However, it will not enter that region when J ⬍ Jc1. When Jef f decreases, the system returns to its initial state as shown in Fig. 6共b兲. When ...
... initial state 共za , zb兲 = 共1 , −1兲 is quite different. As shown in Fig. 4, the fixed point An approaches the unstable region II as Jef f increases from zero. However, it will not enter that region when J ⬍ Jc1. When Jef f decreases, the system returns to its initial state as shown in Fig. 6共b兲. When ...
URL - StealthSkater
... holding true in all scales. Since number theoretic entropies are natural in the intersection of real and pAdic worlds, this suggests that Life resides in this intersection. The existence effectively bound states with no binding energy might have important implications for the understanding the stab ...
... holding true in all scales. Since number theoretic entropies are natural in the intersection of real and pAdic worlds, this suggests that Life resides in this intersection. The existence effectively bound states with no binding energy might have important implications for the understanding the stab ...
Quantum Computing with Majorana Fermions Coupled to
... ability to use bits in quantum mechanical superposition states, rather than just zero or one, in calculations. Unfortunately, many proposed realizations of these quantum bits, or qubits, are extremely vulnerable to decoherence, which destroys the superposition state. Recently, this has motivated int ...
... ability to use bits in quantum mechanical superposition states, rather than just zero or one, in calculations. Unfortunately, many proposed realizations of these quantum bits, or qubits, are extremely vulnerable to decoherence, which destroys the superposition state. Recently, this has motivated int ...
4.6 Finding Antiderivatives
... The value of a definite integral of cos( x2 ) could still be approximated as accurately as needed by using Riemann sums or one of the numerical techniques in Sections 4.9 and 8.7, but no matter how hard we try, we cannot find a concise formula for an antiderivative of cos( x2 ) in order to use the F ...
... The value of a definite integral of cos( x2 ) could still be approximated as accurately as needed by using Riemann sums or one of the numerical techniques in Sections 4.9 and 8.7, but no matter how hard we try, we cannot find a concise formula for an antiderivative of cos( x2 ) in order to use the F ...
- D-Wave Systems
... Quantum annealing (QA) systems such as those developed by D-Wave Systems will provide one path beyond the anticipated end of Moore’s Law performance improvements for classical computers. However, the programming model implemented by QA is very different from that of the classical von Neumann archite ...
... Quantum annealing (QA) systems such as those developed by D-Wave Systems will provide one path beyond the anticipated end of Moore’s Law performance improvements for classical computers. However, the programming model implemented by QA is very different from that of the classical von Neumann archite ...
Geometrical Aspects of Conformal Quantum Field Theory
... In the early seventies, when the mysterious nature of nuclear forces was in the focus of scientific attention, string theory was invented to solve this mystery. Its most remarkable feature is that its basic constituents are not point particles—in contrast to all other theories before—but rather one– ...
... In the early seventies, when the mysterious nature of nuclear forces was in the focus of scientific attention, string theory was invented to solve this mystery. Its most remarkable feature is that its basic constituents are not point particles—in contrast to all other theories before—but rather one– ...
Time-Space Efficient Simulations of Quantum Computations
... Random access to the input and memory. In order to accurately reflect the complexity of computational problems, our model should include a mechanism for random access, i.e., the ability to access any part of the input or memory in a negligible amount of time (say, linear in the length of the address ...
... Random access to the input and memory. In order to accurately reflect the complexity of computational problems, our model should include a mechanism for random access, i.e., the ability to access any part of the input or memory in a negligible amount of time (say, linear in the length of the address ...