Junjie Cai

ORCID: 0009-0008-7445-7480
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Quantum Computing Algorithms and Architecture
  • Vehicle emissions and performance
  • Air Quality and Health Impacts
  • Quantum many-body systems
  • Atmospheric Ozone and Climate
  • Cloud Computing and Resource Management
  • Toxic Organic Pollutants Impact
  • Tensor decomposition and applications
  • Atmospheric and Environmental Gas Dynamics
  • Radiation Therapy and Dosimetry
  • Air Quality Monitoring and Forecasting
  • Advanced Radiotherapy Techniques
  • Radiation Detection and Scintillator Technologies
  • Catalytic Processes in Materials Science
  • Maritime Transport Emissions and Efficiency
  • Computational Physics and Python Applications
  • Neural Networks and Reservoir Computing
  • Parallel Computing and Optimization Techniques

Fudan University
2023-2025

Alibaba Group (United States)
2021

Hefei University of Technology
2013

It is believed that random quantum circuits are difficult to simulate classically. These have been used demonstrate supremacy: the execution of a computational task on computer infeasible for any classical computer. The underlying assertion supremacy by Arute et al. (Nature, 574, 505--510 (2019)) was initially estimated require Summit, world's most powerful supercomputer today, approximately 10,000 years. same performed Sycamore processor in only 200 seconds. In this work, we present tensor...

10.48550/arxiv.2005.06787 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Emission factors and inventories of black carbon (BC) aerosols are crucial for estimating their adverse atmospheric effect. However, it is imperative to separate BC emissions into char soot subgroups due significantly different physicochemical properties potential effects. Here, we present a substantial dataset emission derived from field laboratory measurements. Based on the latest results char-to-soot ratio, further reconstructed years 1960-2017 in China. Our findings indicate that...

10.1038/s41467-023-42192-8 article EN cc-by Nature Communications 2023-10-13

Abstract We develop an algorithmic framework for contracting tensor networks and demonstrate its power by classically simulating quantum computation of sizes previously deemed out reach. Our main contribution, index slicing, is a method that efficiently parallelizes the contraction breaking it down into much smaller identically structured subtasks, which can then be executed in parallel without dependencies. benchmark our algorithm on class random circuits, achieving greater than 10 5 times...

10.1038/s43588-021-00119-7 article EN cc-by Nature Computational Science 2021-09-13

Abstract The roles of organosulfur compounds (OSCs), an important component in organic matter, brown carbon (BrC) aerosol absorption is often overlooked. Here, the molecular composition OSCs and its associations with methanol‐soluble BrC (MS‐BrC) during a haze event North China were revealed using Fourier transform ion cyclotron resonance mass spectrometry analysis. By combining aggregated boosted tree model partial least squares regression estimation, our results suggested that mainly...

10.1029/2024jd042043 article EN other-oa Journal of Geophysical Research Atmospheres 2025-01-04

Ship emissions are a significant source of air pollution, and the primary policy to control is fuel oil quality improvement. However, impact this on particle size distribution composition characteristics remains unclear. Measurements were conducted nine different vessels (ocean-going vessels, coastal cargo ships, inland ships) determine upgrading (S < 0.1% m/m marine gas (MGO) vs S 0.5% heavy (HFO)) elemental carbon (EC) polycyclic aromatic hydrocarbons (PAHs) emitted by ships. (1) Fuel...

10.1021/acs.est.4c01183 article EN Environmental Science & Technology 2024-07-25

We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform(AC-QDP). AC-QDP provides set tools for aiding development both quantum computing algorithms and processors, is powered by large-scale classical simulator deployed Cloud. In this note, we report computational experiments demonstrating simulation capability AC-QDP. use as benchmark random circuits designed Google's Bristlecone QPU {\cite{GRCS}}. simulate Bristlecone-70 with depth $1 + 32 1$ $0.43$...

10.48550/arxiv.1907.11217 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Abstract The key problems with Positive Matrix Factorization (PMF) model for PM 2.5 source apportionment were inconsistent results different species selections and a lack of evaluation criteria accuracy. Moreover, high proportions secondary inorganic aerosols sources (SNA) identified by PMF without corresponding primary sources. This study develops new method that combines multi‐isotopes ( 34 S, 15 N, 18 O 14 C) to optimize apportionment. Data sets A–F, constructed from components, input...

10.1029/2024jd041350 article EN Journal of Geophysical Research Atmospheres 2024-11-28

Purpose: A grid intensity‐based dose algorithm to realize MLC irregular‐inhomogeneous field modeling is presented for Monte Carlo clinical application in ARTS (Accurate Radiotherapy System). Methods: Linac actually a multi‐parameter optimization process, and especially depends on the composition structure detail provided by venders. Maybe real accelerator use could be substituted an photon surface source with compensatory contaminative electron source. intensity map regarded as many gather....

10.1118/1.4814455 article EN Medical Physics 2013-06-01
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