Quantum RAM, quantum ROM, and quantum cache memory

Hafiz Md. Hasan Babu

This chapter describes the memory devices in quantum-DNA computing with multi-valued logic system. It discusses combined Quantum and DNA computing for designing different memory devices considering a binary logic system. The chapter discusses combined multiple-valued Quantum and DNA computing and novel theoretical methods for designing different memory devices considering a binary logic system. Therefore, an integrated computing system as multiple-valued Quantum-to-DNA and vice versa for multi-valued 9-to-2 ROM memory is the main concern. For information processing and storing, bits are used as traditional computing systems, qubits in quantum computing, and sequences in DNA computing systems. Multi-Valued ROM consists of two basic components- multi-valued Decoder and multi-valued OR operations. The software can “partition” a portion of a computer's Cache memory, allowing it to act as a much faster hard drive that is called a Cache memory disk.

M. P. Blencowe

Hafiz Md. Hasan Babu

This chapter illustrates new nano-processor named ternary DNA-quantum nano-processor. However, now it is possible to implement a ternary DNA RAM in this nano-processor, applying the earlier logic of ternary DNA computing. DNA T-cash memory has been used to store DNA bit sequences for short times until an instruction is completed in the ternary quantum CPU that is already sent to the ternary quantum nano-processor. The working procedure of DNA ternary cache memory, NMR relaxation, NMR, and quantum ternary cache memory are described in detail already. Two address lines are needed for simulating ternary 2-bit DNA RAM where it is needed to use the Ternary 1-to-3 DNA decoder operation to achieve a ternary 2-bit DNA RAM. The proposed nano-processor is theoretical but logical. Like the previous nano-processor, it has the same disadvantages as setting up the environment.

Hafiz Md. Hasan Babu

Zaki Leghtas, Gerhard Kirchmair, Brian Vlastakis +3 more

Hafiz Md. Hasan Babu

This book mainly focuses on the design methodologies of various quantum circuits, DNA circuits, DNA-quantum circuits, and quantum-DNA circuits. In this text, the author has compiled various design aspects of multiple-valued logic DNA-quantum and quantum-DNA sequential circuits, memory devices, programmable logic devices, and nanoprocessors. Multiple-Valued Computing in Quantum Molecular Biology: Sequential Circuits, Memory Devices, Programmable Logic Devices, and Nanoprocessors is Volume 2 of a two-volume set, and consists of four parts. This book presents various design aspects of multiple-valued logic DNA-quantum and quantum-DNA sequential circuits, memory devices, programmable logic devices, and nanoprocessors. Part I discusses multiple-valued quantum and DNA sequential circuits such as D flip-flop, SR latch, SR flip-flop, JK flip-flop, T flip-flop, shift register, ripple counter, and synchronous counter, which are described, respectively, with the applications and working procedures. After that, multiple-valued quantum-DNA and DNA-quantum sequential circuits such as D flip-flop, SR flip-flop, JK flip-flop, T flip-flop, shift register, ripple counter and synchronous counter circuits are explained with working procedures and architecture. Part II discusses the architecture and design procedure of memory devices such as random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), and cache memory, which are sequentially described in multiple-valued quantum, DNA, quantum-DNA, and DNA-quantum computing. In Part III, the author examines the architectures and working principles of programmable logic devices such as programmable logic array (PLA), programmable array logic (PAL), field programmable gate array (FPGA), and complex programmable logic device (CPLD) in multiple-valued quantum, DNA, quantum-DNA, and DNA-quantum computing. Multiple-valued quantum, DNA, quantum-DNA, and DNA-quantum nanoprocessors are designed with algorithms in Part IV. Furthermore, the basic components of ternary nanoprocessors such as T-RAM, ternary instruction register, ternary incrementor circuit, ternary decoder, ternary multiplexer, ternary accumulator in quantum, DNA, quantum-DNA, and DNA-quantum computing are also explained in detail. This book will be of great help to researchers and students in quantum computing, DNA computing, quantum-DNA computing, and DNA-quantum computing.