Also Available Domains Low Power VLSI
Design a Modified Fredkin Gate in QCA • Propose a new layout / architecture of the Fredkin gate using Quantum-Dot Cellular Automata (QCA), improving on prior designs. • Ensure that the modified Fredkin gate is reversible (i.e., bijective mapping of inputs to outputs) to minimize information loss.
Reversible logic has emerged as a promising approach to minimize energy dissipation in nanoscale computing systems. This work presents the design of a reversible logic circuit using a Quantum-dot Cellular Automata (QCA) based modified Fredkin gate. The proposed design leverages the inherent advantages of QCA technology, including high device density and low power consumption, while maintaining logical reversibility to eliminate information loss. The modified Fredkin gate is optimized for QCA implementation, reducing cell count and circuit complexity compared to conventional designs. Simulation results demonstrate the correctness and efficiency of the proposed reversible circuits, highlighting their potential for low-power nanoelectronic applications in arithmetic operations, memory, and quantum computing systems.
Index Terms: Reversible logic,
Quantum-dot Cellular Automata (QCA), Modified Fredkin gate, Low-power
nanotechnology, Energy-efficient circuit design, QCA reversible circuits
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Tool Used: Cadence EDA tools for schematic and simulation
· Technology Node:45nm CMOS process.
· Design Elements: complementary compound push–pull pair (PMOS + NMOS), input matching network, L1 & L2 (0.5 pH–10 pH) inductors, high-value output load (RL, 100 kΩ–1 MΩ), biasing/level-shift network, feedback/compensation path, input/output coupling and decoupling capacitors, thermal-stabilization circuitry, and symmetric/layout considerations for reduced mismatch
· Optimization Goal: minimize circuit complexity and parasitics (transistor and passive count) while preserving ultra-wideband large-signal gain, low output noise, high temperature stability, and linearity across the desired cutoff range (e.g., maintain cutoff from ≈18.21 kHz up to hundreds of GHz in simulation) with low power consumption (~69 mW)v
Understanding principles of reversible logic and energy-efficient computation
Knowledge of QCA technology and clocking schemes
Ability to design modified Fredkin gates for reversible operation
Skills in constructing combinational and arithmetic circuits using QCA
Understanding trade-offs between cell count, area, delay, and power
Experience in simulation and layout of QCA-based circuits
Insight into fault-tolerant and robust nanocircuit design
Ability to apply reversible logic in low-power, high-speed, and nano-VLSI applications