A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data includes a quantum computing device formed of a set of hardwired quantum logic circuits interconnected by a plurality of superconducting connections to process information represented as a quantum state that is configured as a set of one or more qubits. The hardwired quantum logic circuits may be arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired quantum logic circuits to perform one or more steps in the bioinformatics analysis on the reads of genomic data. Each subset of the hardwired quantum logic circuits may be formed in a wired configuration to perform the one or more steps in the bioinformatics analysis.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for executing a sequence analysis pipeline on a plurality of reads of genomic data using an index of genetic reference data stored in a memory, each read of genomic data representing a sequence of nucleotides, the genetic reference data representing one or more genetic reference sequences, the system comprising: a quantum computing device formed of a set of hardwired quantum logic circuits interconnected by a plurality of superconducting connections to process information represented as a quantum state that is configured as a set of one or more qubits, one or more of the plurality of superconducting connections comprising a memory interface for accessing the memory, the set of hardwired quantum logic circuits being arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired quantum logic circuits to perform one or more steps in the sequence analysis pipeline on the plurality of reads of genomic data, the set of processing engines comprising a mapping module in a first hardwired configuration to: receive a read of genomic data via the memory interface of the one or more of the plurality of superconducting connections; extract a portion of the read to generate a seed, the seed representing a subset of the sequence of nucleotides represented by the read; calculate a first address within the index based on the seed; access the address in the index in the memory; receive a record from the address, the record representing position information in the genetic reference sequence; determine, based on the record, one or more matching positions from the read to the genetic reference sequence; and output at least one of the matching positions to the memory via the memory interface. 2. The system according to claim 1, wherein the mapping module is further configured to: calculate a second address within the index based on both of the record and of a second subset of the sequence of nucleotides that is not contained in the first subset of the sequence of nucleotides; access the second address in the index in the memory; receive a second record from the second address, the second record or a subsequent record comprising position information in the genetic reference sequence; and further determine, based on the position information, the one or more matching positions from the read to the genetic reference sequence. 3. The system according to claim 1, wherein the index of genetic reference data further comprises a hash table, and wherein the mapping module applies a hash function to the at least some of the sequence of nucleotides to access the hash table of the index. 4. The system according to claim 1, wherein the set of processing engines of the hardwired quantum logic circuits further comprises an alignment module in a second hardwired configuration to access the genetic reference data from the memory via the memory interface, and to align a mapped read to one or more positions in the genetic reference sequence from the mapping module. 5. The system according to claim 4, wherein the set of processing engines of the hardwired quantum logic circuits further comprises a sorting module in a third hardwired configuration to sort each aligned read according to the one or more positions in the genetic reference sequence. 6. The system according to claim 4, wherein the set of processing engines of the hardwired quantum logic circuits further comprises a variant call module in a third hardwired configuration to perform a variant calling operation on each aligned read according to the one or more positions in the genetic reference sequence. 7. A system for executing a sequence analysis pipeline on a plurality of reads of genomic data using an index of genetic reference data stored in a memory, each read of genomic data representing a sequence of nucleotides, the genetic reference data representing one or more genetic reference sequences, the system comprising: a quantum computing device formed of a set of hardwired quantum logic circuits interconnected by a plurality of superconducting connections to process information represented as a quantum state that is configured as a set of one or more qubits, one or more of the plurality of superconducting connections comprising a memory interface for accessing the memory, the set of hardwired quantum logic circuits being arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired quantum logic circuits to perform one or more steps in the sequence analysis pipeline on the plurality of reads of genomic data, the set of processing engines comprising an alignment module in a first hardwired configuration to: receive a plurality of mapped positions for the read from the memory; access the memory to retrieve a segment of the genetic reference sequence corresponding to each of the mapped positions; calculate an alignment of the read to each retrieved segment of the genetic reference sequence; generate a score for each alignment; and select at least one best-scoring alignment of the read. 8. The system according to claim 7, wherein the alignment module is configured for performing one or more of a gapped or gapless alignment. 9. The system according to claim 8, wherein the alignment module is configured for performing a Smith Waterman alignment. 10. The system according to claim 7, wherein the set of processing engines of the hardwired quantum logic circuits further comprises a sorting module in a further hardwired configuration to sort each aligned read according to the one or more positions in the genetic reference sequence. 11. The system according to claim 7, wherein the set of processing engines of the hardwired quantum logic circuits further comprises a variant call module in an additional hardwired configuration to perform a variant calling operation on each aligned read according to the one or more positions in the genetic reference sequence. 12. The system according to claim 7, wherein the set of processing engines of the hardwired quantum logic circuits further comprises a mapping module in an additional hardwired configuration to map each read to one or more positions in the genetic reference sequence according to the index. 13. A system for executing a sequence analysis pipeline on genetic sequence data including a plurality of reads of genomic data and reference sequence data, each read of genomic data and the reference sequence data comprising a sequence of nucleotides, the system comprising: a memory for storing the plurality of reads of genomic data and the reference sequence data; and a quantum computing device formed of a set of hardwired quantum logic circuits interconnected by a plurality of superconducting connections to process information represented as a quantum state that is configured as a set of one or more qubits, one or more of the plurality of superconducting connections comprising a memory interface for accessing the memory, the set of hardwired quantum logic circuits being arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired quantum logic circuits to perform a variant calling operation in the sequence analysis pipeline on the plurality of reads of genomic data, the set of processing engines comprising a variant calling module in a first configuration to access the plurality of reads and the reference sequence data, compare the nucleotides in the plurality of reads to the nucleotides of the reference sequence data to determine one or more differences between the sequences of nucleotides in the plurality of reads and the sequence of nucleotides in the reference sequence data, and generate one or more variant calls representing the one or more differences. 14. The system according to claim 13, wherein one or more of the set of processing engines of the variant calling module is further configured to: receive, from the memory, one or more reads of the plurality of reads of genomic data and one or more candidate haplotypes, each candidate haplotype comprising a nucleotide sequence; compare, nucleotides in each of the one or more reads to the one or more candidate haplotypes to determine a probability of each candidate haplotype representing a correct variant call; and generate an output based on the probability. 15. The system according to claim 14, wherein the variant calling module is further configured to determine a probability of observing each read of the plurality of reads based on at least one candidate haplotype being a true sequence of nucleotides of a source organism of the plurality of reads. 16. The system according to claim 15, wherein determining the probability includes executing a Hidden Markov Model by a portion of the hardwired quantum logic circuits. 17. The system according to claim 16, wherein the variant calling engine is further configured to: merge the plurality of reads into one or more contiguous nucleotide sequences. 18. The system according to claim 17, wherein merging the plurality of reads comprises constructing a De Bruijn graph. 19. The system according to claim 13, wherein the memory stores an index of the one or more genetic reference sequences, and wherein the set of hardwired quantum logic circuits are in a wired configuration to: access, according to at least some of the sequence of nucleotides in at least one read of the one or more reads of genomic data, the index of the one or more genetic reference sequences from the memory via the memory interface; map the at least one read of the one or more reads of genomic data to one or more segments of the one or more genetic reference sequences based on the index to produce a mapped read; access the mapped read and the one or more genetic reference sequences from the memory via the memory interface; and align the mapped read to one or more positions in the one or more segments of the one or more genetic reference sequences to produce an aligned read. 20. The system according to claim 19, wherein the index of genetic reference data further comprises a hash table, and a hash function is employed to map the read to the hash table of the index. 21. The system according to claim 19, wherein one or more of a gapped or gapless alignment is performed. 22. The system according to claim 19, wherein a Smith Waterman alignment is performed. 23. The system according to claim 19, wherein the set of hardwired quantum logic circuits are configured to further sort each aligned read according to the one or more positions in the one or more genetic reference sequences. 24. The system according to claim 19, wherein the set of hardwired quantum logic circuits are configured to perform a variant calling operation in the sequence analysis pipeline on the aligned reads. 25. A genomics analysis platform for executing a sequence analysis pipeline on genetic sequence data, the genomics analysis platform comprising: one or more of a first integrated circuit, each first integrated circuit forming a central processing unit (CPU) or a graphics processing unit (GPU) that is responsive to one or more software algorithms that are configured to instruct the CPU or GPU to perform a first set of genomic processing steps of the sequence analysis pipeline, the CPU or GPU having a first set of electronic interconnects; a quantum computing device formed of a set of hardwired quantum logic circuits having a set of superconducting connections to process information represented as a quantum state that is configured as a set of one or more qubits, one or more of the plurality of superconducting connections comprising a second set of electronic interconnects to connect with at least one CPU or GPU via a portion of the first set of electronic interconnects, the set of hardwired quantum logic circuits being arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired quantum logic circuits to perform a second set of genomic processing steps of the sequence analysis pipeline; and a shared memory electronically connected with each CPU or GPU and the quantum computing device via a portion of at least one of the first and second set of electronic interconnects, the shared memory being accessible by each CPU or GPU and each quantum computing device to provide the genetic sequence data and to store result data from the genomic processing steps performed on the genetic sequence data by each CPU or GPU and each quantum computing device. 26. The genomics analysis platform according to claim 25, wherein the shared memory stores a plurality of reads of genomic data, at least one or more genetic reference sequences, and an index of the one or more genetic reference sequences. 27. The genomics analysis platform according to claim 25, wherein a first set of the processing engines comprises: a mapping module comprising a first subset of the hardwired quantum logic circuits to access, according to at least a portion of a read of the plurality of reads of genomic data, the index of the one or more genetic reference sequences from the shared memory to map the selected read to one or more segments of the one or more genetic reference sequences based on the index. 28. The genomics analysis platform according to claim 25, wherein the first subset of the hardwired quantum logic circuits causes the mapping module to: receive a read of genomic data via one or more of the electrical interconnects; extract a portion of the read to generate a seed, the seed representing a subset of a sequence of nucleotides represented by the read; calculate an address within the index based on the seed; access the address in the index in the memory; receive a record from the address, the record representing position information in the genetic reference sequence; determine one or more matching positions from the read to the genetic reference sequence based on the record; and output at least one of the matching positions to the shared memory. 29. The genomics analysis platform according to claim 26, wherein a second set of processing engines further comprises: an alignment module comprising a second subset of the hardwired quantum logic circuits to access the one or more genetic reference sequences from the shared memory and to align a portion of a mapped read to one or more positions in one or more segments of the one or more genetic reference sequences from the mapping module. 30. The genomics analysis platform according to claim 26, wherein the second subset of the hardwired quantum logic circuits causes the alignment module to: receive one or more mapped positions for the read from the mapping module or shared memory; access the memory to retrieve a segment of the genetic reference sequence corresponding to the matching positions determined by the mapping module; calculate an alignment of the read to each retrieved genetic reference sequence and generate a score representing the alignment; and select at least one best-scoring alignment of the read.