An adder device for binary magnetic applied fields uses Interlayer Exchange Coupling (IEC) structure where two layers of ferromagnetic material are separated from each other by non-magnetic layers of electrically conductive material of atomic thickness, sufficient to generate anti-magnetic response in a magnetized layer. A set of regions are positioned on a top layer above a continuous bottom layer, and the regions excited with magnetization for A and not A, B and not B, and C and not C to form a sum and an inverse carry output magnetization.

Methodology to reduce the running time of any string sorting algorithm is described. In one methodology, a prefix of each string from the input unsorted string array is converted to an integer and placed in an array. The array of integers is sorted using the given sorting algorithm. In subsequent methodology, the characters of the string prefix are placed in a record structure and stored in an array of character records. The array of character records is sorted using the given sorting algorithm. The input unsorted array of strings is then sorted using either the sorted array of integers or character records as a reference. Both methodologies showed performance improvements when running in sequential mode only. Therefore, parallel data sort methodology (PDS) was introduced allowing sorting algorithms to sort data in parallel, and its implementation made the two methodologies execute much faster in parallel mode.

An arithmetic logic unit (ALU) including a binary, parallel adder and multiplier to perform arithmetic operations is described. The ALU includes an adder circuit coupled to a multiplexer to receive input operands that are directed to either an addition operation or a multiplication operation. During the multiplication operation, the ALU is configured to determine partial product operands based on first and second operands and provide the partial product operands to the adder circuit via the multiplexer, and the adder circuit is configured to provide an output having a value equal to a product of the first operand second operands. During an addition operation, the ALU is configured to provide the first and second operands to the adder circuit via the multiplexer, and the adder circuit is configured to provide the output having a value equal to a sum of the first and second operands.

An arithmetic logic unit (ALU) including a binary, parallel adder and multiplier to perform arithmetic operations is described. The ALU includes an adder circuit coupled to a multiplexer to receive input operands that are directed to either an addition operation or a multiplication operation. During the multiplication operation, the ALU is configured to determine partial product operands based on first and second operands and provide the partial product operands to the adder circuit via the multiplexer, and the adder circuit is configured to provide an output having a value equal to a product of the first operand second operands. During an addition operation, the ALU is configured to provide the first and second operands to the adder circuit via the multiplexer, and the adder circuit is configured to provide the output having a value equal to a sum of the first and second operands.

Methods and apparatus for optimizing a quantum circuit. In one aspect, a method includes identifying one or more sequences of operations in the quantum circuit that un-compute respective qubits on which the quantum circuit operates; generating an adjusted quantum circuit, comprising, for each identified sequence of operations in the quantum circuit, replacing the sequence of operations with an X basis measurement and a classically-controlled phase correction operation, wherein a result of the X basis measurement acts as a control for the classically-controlled correction phase operation; and executing the adjusted quantum circuit.

Methods and apparatus for optimizing a quantum circuit. In one aspect, a method includes identifying one or more sequences of operations in the quantum circuit that un-compute respective qubits on which the quantum circuit operates; generating an adjusted quantum circuit, comprising, for each identified sequence of operations in the quantum circuit, replacing the sequence of operations with an X basis measurement and a classically-controlled phase correction operation, wherein a result of the X basis measurement acts as a control for the classically-controlled correction phase operation; and executing the adjusted quantum circuit.

The present disclosure relates generally to techniques for enhancing adders implemented on an integrated circuit. In particular, arithmetic performed by an adder implemented to receive operands having a first precision is restructured so that a set of sub-adders performs the arithmetic on a respective segment of the operands. More specifically, the adder is restructured, and a decoder determines a generate signal and a propagate signal for each of the sub-adders and routes the generate signal and the propagate signal to a prefix network. The prefix network determines respective carry bit(s), which carries into and/or select a sum at a subsequent sub-adder.

The present disclosure relates generally to techniques for enhancing adders implemented on an integrated circuit. In particular, arithmetic performed by an adder implemented to receive operands having a first precision is restructured so that a set of sub-adders performs the arithmetic on a respective segment of the operands. More specifically, the adder is restructured, and a decoder determines a generate signal and a propagate signal for each of the sub-adders and routes the generate signal and the propagate signal to a prefix network. The prefix network determines respective carry bit(s), which carries into and/or select a sum at a subsequent sub-adder.

In this paper, binary stackers and counters are presented. In an embodiment, a counter uses 3-bit stacking circuits which group T bits together, followed a symmetric method to combine pairs of 3-bit stacks into 6-bit stacks. The bit stacks are then converted to binary counts, producing 6:3 and 7:3 Counter circuits with no XOR gates on the critical path. This avoids of XOR gates results in faster designs with efficient power and area utilization. In VLSI simulations, the presently-disclosed counters were 30% faster and at consumed at least 20% less power than existing parallel counters. Additionally, using the presently-disclosed counter in existing Counter Based Wallace tree multiplier architectures reduce latency and improves efficiency in term of power-delay product for 64-bit and 128-bit multipliers.

In this paper, binary stackers and counters are presented. In an embodiment, a counter uses 3-bit stacking circuits which group T bits together, followed a symmetric method to combine pairs of 3-bit stacks into 6-bit stacks. The bit stacks are then converted to binary counts, producing 6:3 and 7:3 Counter circuits with no XOR gates on the critical path. This avoids of XOR gates results in faster designs with efficient power and area utilization. In VLSI simulations, the presently-disclosed counters were 30% faster and at consumed at least 20% less power than existing parallel counters. Additionally, using the presently-disclosed counter in existing Counter Based Wallace tree multiplier architectures reduce latency and improves efficiency in term of power-delay product for 64-bit and 128-bit multipliers.