Abstract

Abstract The development of information technology urgently requires ultrafast, ultra-low energy consumption and ultra-high-capacity data computing abilities. Traditional computing method of electronic chips is limited by the bottleneck of Moore’s Law. All-optical computing of photonic chips provides a promising way to realize such high-performance data computing abilities. Until now, it is still a huge challenge to realize all-optical four arithmetic operations at the same time on a photonic chip. Here, we propose a new encoding scheme for all-optical binary computation, including n-bit addition, subtraction, multiplication and division. We theoretically present n-bit calculation and experimentally demonstrate 1 bit calculation. The computation part includes a half binary adder and a shifter, whose feature sizes are only 2 μm × 19.5 μm and 4 μm × 9 μm, respectively. The half binary adder and shifter consist of three low-loss basic devices through inverse design method. The distance between two adjacent basic devices is smaller than 1.5 μm, within wavelength magnitude scale. The response time is the propagation time of the signal light in a single device, within 100 fs. The threshold energy consumption is within 10 fJ/bit. Our results provide a new method to realize ultrafast, ultra-low energy consumption and ultra-high-capacity data processing abilities all-optical n-bit binary computing.

Highlights

  • With the rapid development of information technology, the existing computing structures mainly based on electronic processors have been difficult to meet the increasingly urgent requirements of ultra-high-speed, ultra-low energy consumption and large capacity data information processing [1,2,3]

  • The half binary adder and shifter consist of three low-loss basic devices through inverse design method

  • The half binary adder and shifter consist of three low-loss basic devices through inverse design method, which achieves the transmittance of each output waveguide greater than 90%

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Summary

Introduction

With the rapid development of information technology, the existing computing structures mainly based on electronic processors have been difficult to meet the increasingly urgent requirements of ultra-high-speed, ultra-low energy consumption and large capacity data information processing [1,2,3]. The arithmetic part is an important component of the central processing unit (CPU), the concept of all-optical calculation provides a feasible method to improve the processing speed of the CPU [7, 8]. The current widely used information processing method adopts photoelectric integration, that alloptical calculation part uses photons to carry information, which is transformed from electrical signals by photoelectric conversion. After the calculation of the all-optical arithmetic part, the information is carried by electrical signals through photoelectric conversion [9]. Zhu et al [18] performed optical spatial differentiation computing at a

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