What is he best known for?
The fields of study he is best known for:
- Integrated circuit
- Electrical engineering
- Algorithm
His main research concerns Electronic engineering, Logic gate, Toffoli gate, Quantum computer and Adder.
His work on Integrated circuit design as part of general Electronic engineering research is frequently linked to Design for testing, bridging the gap between disciplines.
His work on Sequential logic and Quantum dot cellular automaton as part of general Logic gate study is frequently connected to Fredkin gate, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Himanshu Thapliyal has included themes like Quantum circuit and Three-input universal logic gate in his Toffoli gate study.
His Quantum computer research includes elements of Carry-save adder, Propagation delay, Binary number and Parallel computing.
Himanshu Thapliyal has researched Adder in several fields, including Optical computing and CMOS.
His most cited work include:
- Design of reversible sequential circuits optimizing quantum cost, delay, and garbage outputs (148 citations)
- Reversible Logic-Based Concurrently Testable Latches for Molecular QCA (114 citations)
- Design of Testable Reversible Sequential Circuits (107 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Adder, Electronic engineering, Logic gate, Quantum computer and Arithmetic.
Himanshu Thapliyal combines subjects such as Electronic circuit, Logic synthesis, Parallel computing, Carry and CMOS with his study of Adder.
His research in Electronic engineering intersects with topics in Carry-save adder and Transistor.
His work on Quantum dot cellular automaton and Logic family as part of general Logic gate research is often related to Fredkin gate, thus linking different fields of science.
His biological study spans a wide range of topics, including Optical computing and Topology.
The study incorporates disciplines such as Toffoli gate and Quantum gate in addition to Quantum circuit.
He most often published in these fields:
- Adder (30.05%)
- Electronic engineering (27.46%)
- Logic gate (25.91%)
What were the highlights of his more recent work (between 2019-2021)?
- Electronic circuit (22.80%)
- Efficient energy use (7.25%)
- CMOS (21.24%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electronic circuit, Efficient energy use, CMOS, Electrical engineering and Artificial intelligence.
His Electronic circuit study integrates concerns from other disciplines, such as Quantum, Adder and Arithmetic.
His Adder research is multidisciplinary, relying on both Quantum algorithm, Noise and Overhead.
His studies in Arithmetic integrate themes in fields like Quantum circuit and Qubit.
His CMOS study necessitates a more in-depth grasp of Electronic engineering.
His Electronic engineering research incorporates elements of Cryptographic protocol and Solar cell.
Between 2019 and 2021, his most popular works were:
- Machine Learning Based Solutions for Real-Time Stress Monitoring (9 citations)
- Quantum Circuit Designs of Integer Division Optimizing T-count and T-depth (9 citations)
- T-count and Qubit Optimized Quantum Circuit Designs of Carry Lookahead Adder. (4 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Integrated circuit
- Electrical engineering
Himanshu Thapliyal mainly focuses on Artificial intelligence, Electronic circuit, Qubit, Quantum circuit and Arithmetic.
His research integrates issues of Photoplethysmogram and Pattern recognition in his study of Artificial intelligence.
His work deals with themes such as Carry-lookahead adder, Quantum, Quantum algorithm, Adder and Overhead, which intersect with Electronic circuit.
His studies deal with areas such as Computation and Reduction as well as Carry-lookahead adder.
Himanshu Thapliyal is interested in Quantum computer, which is a branch of Quantum.
Term, Machine learning and Edge computing are fields of study that intersect with his Stress study.
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