A constraint problem may be represented as a digital circuit comprising at least one gate and at least one constrained input or at least one constrained output, or a combination of at least one constrained input and at least one constrained output. A matrix may be generated for each of the at least one gates. A constraint matrix may be generated for the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output. A final matrix comprising a combination of each matrix for each of the at least one gates and the constraint matrix may be generated. The final matrix may be translated into an energy representation useable by a quantum computer. The energy of the energy representation may be minimized to generate a q-bit output, and a result of the constraint problem may be determined based on the q-bit output.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of formatting a constraint problem for input to a quantum processor and solving the constraint problem, the method comprising: representing, with a classical processor, a quantum processor, or a combination thereof, the constraint problem as a digital circuit comprising at least one gate and at least one constrained input, at least one constrained output, or a combination of at least one constrained input and at least one constrained output; generating, with the classical processor, the quantum processor, or the combination thereof, a matrix for each of the at least one gates; generating, with the classical processor, the quantum processor, or the combination thereof, a constraint matrix for the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output; generating, with the classical processor, the quantum processor, or the combination thereof, a final matrix comprising a combination of each matrix for each of the at least one gates and the constraint matrix; translating, with the classical processor, the quantum processor, or the combination thereof, the final matrix into an energy representation useable by the quantum processor. minimizing, with the quantum processor, an energy of the energy representation to generate a quantum bit (q-bit) output; and determining, with the classical processor, the quantum processor, or the combination thereof, a result of the constraint problem based on the q-bit output. 2. The method of claim 1, wherein the translating comprises interpreting the final matrix as a Hamiltonian energy matrix. 3. The method of claim 2, wherein the Hamiltonian energy matrix comprises a spin glass Hamiltonian energy matrix. 4. The method of claim 2, wherein the Hamiltonian energy matrix represents each of the at least one constrained inputs, each of the at least one constrained outputs, or each of the combination of at least one constrained input and at least one constrained output as a row and column entry in the Hamiltonian energy matrix. 5. The method of claim 2, further comprising converting, with the classical processor, the quantum processor, or the combination thereof, the Hamiltonian energy matrix into an appropriate form for the quantum computer used to minimize the energy of the Hamiltonian energy matrix. 6. The method of claim 1, wherein the representing further comprises assigning a label to each of a plurality of intermediate outputs within the digital circuit. 7. The method of claim 1, wherein the representing further comprises assigning a label to each of the at least one gates. 8. The method of claim 1, wherein the digital circuit comprises at least one two-input logic gate selected from a set of universal gates. 9. The method of claim 8, wherein the set of universal gates comprises eight two-input gates formed by all two-input combinations of AND and OR with optional NOT functionality on one or both of the inputs. 10. The method of claim 1, wherein the digital circuit comprises at least one sub-circuit that evaluates to true when constraints on an input are satisfied and an output of the sub-circuit is constrained to be true. 11. The method of claim 1, further comprising converting, with the classical processor, the quantum processor, or the combination thereof, the digital circuit into a table comprising data about the at least one gate and the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output. 12. The method of claim 1, wherein generating the matrix for each of the at least one gates comprises: computing a permutation matrix for the gate; choosing a gate matrix based on a gate type of the gate; and multiplying a transpose of the permutation matrix, the gate matrix, and the permutation matrix to form the matrix for the gate. 13. The method of claim 1, wherein generating the final matrix comprises: adding each matrix for each of the at least one gates together to create a circuit matrix; and adding the constraint matrix to the circuit matrix. 14. The method of claim 1, wherein the quantum processor uses adiabatic quantum computing. 15. The method of claim 1, wherein the digital circuit represents a cryptographic function, a cryptographic algorithm, or a traveling salesman problem. 16. The method of claim 15, wherein the cryptographic function is a one-way function. 17. A system for formatting a constraint problem for input to a quantum computer and solving the constraint problem, the system comprising: a classical computer configured to: represent the constraint problem as a digital circuit comprising at least one gate and at least one constrained input, at least one constrained output, or a combination of at least one constrained input and at least one constrained output; generate a matrix for each of the at least one gates; generate a constraint matrix for the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output; generate a final matrix comprising a combination of each matrix for each of the at least one gates and the constraint matrix; and translate the final matrix into an energy representation useable by the quantum computer; and the quantum computer configured to: minimize an energy of the energy representation to generate a quantum bit (q-bit) output; wherein the classical computer is further configured to determine a result of the constraint problem based on the q-bit output. 18. The system of claim 17, wherein the translating comprises interpreting the final matrix as a Hamiltonian energy matrix. 19. The system of claim 18, wherein the Hamiltonian energy matrix comprises a spin glass Hamiltonian energy matrix. 20. The system of claim 18, wherein the Hamiltonian energy matrix represents each of the at least one constrained inputs, each of the at least one constrained outputs, or each of the combination of at least one constrained input and at least one constrained output as a row and column entry in the Hamiltonian energy matrix. 21. The system of claim 18, wherein the classical computer is further configured to convert the Hamiltonian energy matrix into an appropriate form for the quantum computer used to minimize the energy of the Hamiltonian energy matrix. 22. The system of claim 17, wherein the representing further comprises assigning a label to each of a plurality of intermediate outputs within the digital circuit. 23. The system of claim 17, wherein the representing further comprises assigning a label to each of the at least one gates. 24. The system of claim 17, wherein the digital circuit comprises at least one two-input logic gate selected from a set of universal gates. 25. The system of claim 24, wherein the set of universal gates comprises eight two-input gates formed by all two-input combinations of AND and OR with optional NOT functionality on one or both of the inputs. 26. The system of claim 17, wherein the digital circuit comprises at least one sub-circuit that evaluates to true when constraints on an input are satisfied and an output of the sub-circuit is constrained to be true. 27. The system of claim 17, wherein the classical computer is further configured to convert the digital circuit into a table comprising data about the at least one gate and the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output. 28. The system of claim 17, wherein generating the matrix for each of the at least one gates comprises: computing a permutation matrix for the gate; choosing a gate matrix based on a gate type of the gate; and multiplying a transpose of the permutation matrix, the gate matrix, and the permutation matrix to form the matrix for the gate. 29. The system of claim 17, wherein generating the final matrix comprises: adding each matrix for each of the at least one gates together to create a circuit matrix; and adding the constraint matrix to the circuit matrix. 30. The system of claim 17, wherein the quantum computer uses adiabatic quantum computing. 31. The system of claim 17, wherein the digital circuit represents a cryptographic function, a cryptographic algorithm, or a traveling salesman problem. 32. The system of claim 31, wherein the cryptographic function is a one-way function. 33. A quantum computer configured to: represent a constraint problem as a digital circuit comprising at least one gate and at least one constrained input, at least one constrained output, or a combination of at least one constrained input and at least one constrained output; generate a matrix for each of the at least one gates; generate a constraint matrix for the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output; generate a final matrix comprising a combination of each matrix for each of the at least one gates and the constraint matrix; translate the final matrix into an energy representation useable by the quantum computer; minimize an energy of the energy representation to generate a quantum bit (q-bit) output; and determine a result of the constraint problem based on the q-bit output. 34. The quantum computer of claim 33, wherein the translating comprises interpreting the final matrix as a Hamiltonian energy matrix. 35. The quantum computer of claim 34, wherein the Hamiltonian energy matrix comprises a spin glass Hamiltonian energy matrix. 36. The quantum computer of claim 34, wherein the Hamiltonian energy matrix represents each of the at least one constrained inputs, each of the at least one constrained outputs, or each of the combination of at least one constrained input and at least one constrained output as a row and column entry in the Hamiltonian energy matrix. 37. The quantum computer of claim 34, wherein the quantum computer is further configured to convert the Hamiltonian energy matrix into an appropriate form for the quantum computer used to minimize the energy of the Hamiltonian energy matrix. 38. The quantum computer of claim 33, wherein the representing further comprises assigning a label to each of a plurality of intermediate outputs within the digital circuit. 39. The quantum computer of claim 33, wherein the representing further comprises assigning a label to each of the at least one gates. 40. The quantum computer of claim 33, wherein the digital circuit comprises at least one two-input logic gate selected from a set of universal gates. 41. The quantum computer of claim 40, wherein the set of universal gates comprises eight two-input gates formed by all two-input combinations of AND and OR with optional NOT functionality on one or both of the inputs. 42. The quantum computer of claim 33, wherein the digital circuit comprises at least one sub-circuit that evaluates to true when constraints on an input are satisfied and an output of the sub-circuit is constrained to be true. 43. The quantum computer of claim 33, wherein the quantum computer is further configured to convert the digital circuit into a table comprising data about the at least one gate and the at least one constrained input, the at least one constrained output, or the combination of at least one constrained input and at least one constrained output. 44. The quantum computer of claim 33, wherein generating the matrix for each of the at least one gates comprises: computing a permutation matrix for the gate; choosing a gate matrix based on a gate type of the gate; and multiplying a transpose of the permutation matrix, the gate matrix, and the permutation matrix to form the matrix for the gate. 45. The quantum computer of claim 33, wherein generating the final matrix comprises: adding each matrix for each of the at least one gates together to create a circuit matrix; and adding the constraint matrix to the circuit matrix. 46. The quantum computer of claim 33, wherein the quantum computer uses adiabatic quantum computing. 47. The quantum computer of claim 33, wherein the digital circuit represents a cryptographic function, a cryptographic algorithm, or a traveling salesman problem. 48. The quantum computer of claim 47, wherein the cryptographic function is a one-way function.