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WiMi Hologram Cloud Inc.

$1.06 -$1.42 (-57.26%)
NASDAQ · 14 Sep 2026 20:00 UTC
Previous Close
$1.03
Day Range
$1.02$1.12
Year Range
$1$5.65
Market Cap
52.05M
AVG Volume
164.17K
Trailing/Forward PE
0.13/0.17
PEG ratio
-0
Dividend Yield
-
Next Earnings Date
2026-09-24
Primary Exchange
NASDAQUS
Revenue (CNY)
0200M400M600M23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Revenue (CNY) by quarter
PeriodRevenue (CNY)
25 Q4422.25M
25 Q3117M
25 Q294.12M
25 Q194.12M
24 Q4125.55M
24 Q3125.55M
24 Q2145.41M
24 Q1145.41M
23 Q4160.3M
23 Q3160.3M
Net Income (CNY)
-400M-200M0200M400M23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Net Income (CNY) by quarter
PeriodNet Income (CNY)
25 Q4309.25M
25 Q3101.47M
25 Q253.15M
25 Q153.15M
24 Q431.99M
24 Q331.99M
24 Q23.83M
24 Q13.83M
23 Q4-209.5M
23 Q3-209.5M
Operating Income (CNY)
-300M-200M-100M023 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Operating Income (CNY) by quarter
PeriodOperating Income (CNY)
25 Q4-38.65M
25 Q3-10.08M
25 Q2-9.24M
25 Q1-9.24M
24 Q4-12.87M
24 Q3-12.87M
24 Q2-1.66M
24 Q1-1.66M
23 Q4-293.04M
23 Q3-293.04M
EBITDA (CNY)
-200M0200M400M23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI EBITDA (CNY) by quarter
PeriodEBITDA (CNY)
25 Q4372.7M
25 Q3-2.09M
25 Q266.21M
25 Q166.21M
24 Q46.93M
24 Q36.93M
24 Q28.05M
24 Q18.05M
23 Q4-95.92M
23 Q3-95.92M
Cash Flows (CNY)
-100M0100M200M23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Cash Flows (CNY) by quarter
PeriodCash Flows (CNY)
25 Q458.99M
25 Q3-77.34M
25 Q2106.83M
25 Q1106.83M
24 Q4191.32M
24 Q3191.32M
24 Q275.11M
24 Q175.11M
23 Q412.4M
23 Q312.4M
EPS (CNY)
-1001020304023 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI EPS (CNY) by quarter
PeriodEPS (CNY)
25 Q431.86
25 Q36.02
25 Q22.28
25 Q12.28
24 Q43.26
24 Q33.26
24 Q20.08
24 Q10.08
23 Q4-0.66
23 Q3-2.37
Expenses (CNY)
050M100M150MR&DSG&ACapex23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Expenses (CNY) by quarter
PeriodExpenses (CNY)
25 Q4147.81M
25 Q360.47M
25 Q235.42M
25 Q135.42M
24 Q426.76M
24 Q326.76M
24 Q247.35M
24 Q147.35M
23 Q4145.37M
23 Q3145.37M
Cash & Debt (CNY)
01B2B3B4BCashLong Term DebtShort Term Debt23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Cash & Debt (CNY) by quarter
PeriodCash & Debt (CNY)
25 Q43.38B
25 Q33.38B
25 Q23.19B
25 Q13.19B
24 Q41.92B
24 Q31.92B
24 Q21.16B
24 Q11.16B
23 Q4773.84M
23 Q3773.84M
Debt ratios
-75-50-2502523 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Debt ratios by quarter
PeriodDebt ratios
25 Q4-6.24
25 Q3-22.86
25 Q2-19.81
25 Q1-32.88
24 Q4-59.12
24 Q324.28
24 Q25.56
24 Q15.07
23 Q43.46
23 Q33.09
Margins
0%10%20%30%40%23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Margins by quarter
PeriodMargins
25 Q425.81%
25 Q324.3%
25 Q227.67%
25 Q127.67%
24 Q426.45%
24 Q326.45%
24 Q230.11%
24 Q130.11%
23 Q428.92%
23 Q328.92%
Return on Capital
-30%-20%-10%0%10%20%23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Return on Capital by quarter
PeriodReturn on Capital
25 Q411.61%
25 Q33.81%
25 Q22.19%
25 Q12.19%
24 Q42.31%
24 Q32.31%
24 Q20.44%
24 Q10.44%
23 Q4-27.51%
23 Q3-27.51%
Shares Outstanding
025M50M75M100M23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Shares Outstanding by quarter
PeriodShares Outstanding
25 Q46.8M
25 Q316.9M
25 Q223.39M
25 Q123.39M
24 Q49.82M
24 Q39.82M
24 Q249.11M
24 Q149.11M
23 Q488.15M
23 Q388.15M
Book Value Per Share (CNY)
010020030040023 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Book Value Per Share (CNY) by quarter
PeriodBook Value Per Share (CNY)
25 Q4391.8
25 Q3157.69
25 Q2103.7
25 Q1103.7
24 Q4141.02
24 Q3141.02
24 Q217.77
24 Q117.77
23 Q48.64
23 Q38.64
Total Assets (CNY)
01B2B3B4B23 Q323 Q424 Q124 Q224 Q324 Q425 Q125 Q225 Q325 Q4
WIMI Total Assets (CNY) by quarter
PeriodTotal Assets (CNY)
25 Q43.61B
25 Q33.61B
25 Q23.4B
25 Q13.4B
24 Q42.15B
24 Q32.15B
24 Q21.43B
24 Q11.43B
23 Q41.03B
23 Q31.03B
Employee Count
0100200300202020212022
WIMI Employee Count by quarter
PeriodEmployee Count
2022202
2021210
2020202
PE Ratio
02505007501000med 3.74Jul 20Nov 20Jul 25Oct 25Feb 26May 26Sep 26
WIMI PE Ratio by quarter
PeriodPE Ratio
Sep 260.09
Sep 260.11
Aug 260.11
Aug 260.12
Aug 260.12
Aug 260.12
Jul 260.11
Jul 260.1
Jul 260.11
Jul 260.13
Jul 260.14
Jun 260.13
Jun 260.14
Jun 260.14
Jun 260.14
May 260.15
May 260.14
May 260.14
May 260.14
May 260.15
Apr 260.16
Apr 260.95
Apr 260.89
Apr 260.92
Mar 260.78
Mar 260.8
Mar 260.93
Mar 260.89
Feb 260.93
Feb 260.9
Feb 260.89
Feb 260.99
Jan 261
Jan 261.32
Jan 261.39
Jan 261.33
Jan 261.22
Dec 251.3
Dec 251.45
Dec 251.45
Dec 251.56
Nov 252.97
Nov 252.73
Nov 252.86
Nov 253.1
Oct 253.71
Oct 253.84
Oct 253.78
Oct 253.88
Oct 254.6
Sep 254.49
Sep 256.67
Sep 256.14
Sep 255.35
Aug 255.56
Aug 255.4
Aug 255.22
Aug 255.03
Aug 254.6
Jul 255.74
Jul 255.14
Jul 254.85
Jul 253.98
Jun 254.13
Jun 253.46
Jun 253.22
Jun 253.7
May 254.87
May 253.23
May 254.25
May 254.13
May 254.67
Apr 255.05
Nov 20532.97
Nov 20517.99
Nov 20481.79
Nov 20507.68
Oct 20469.82
Oct 20470.12
Oct 20501.91
Oct 20441.47
Oct 20445.31
Sep 20502.81
Sep 20553.75
Sep 20564.23
Sep 20518.74
Aug 20376.68
Aug 20406.64
Aug 20430.99
Aug 20455.61
Jul 20350.72
Jul 20591.01
Jul 20856.05
Jul 20769.56
Jul 20184.3
Jun 20186.18
Jun 20184.95
Jun 20187.34
Jun 20183.62
May 20140.98
Free Cash Flow Yield
0%200%400%600%med 104%Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Free Cash Flow Yield by quarter
PeriodFree Cash Flow Yield
Sep 26415.72%
Sep 26353.7%
Aug 26328.5%
Aug 26309.68%
Aug 26313.3%
Aug 26320.08%
Jul 26354.53%
Jul 26368.83%
Jul 26347.46%
Jul 26284.47%
Jul 26276.54%
Jun 26285.49%
Jun 26266.89%
Jun 26262.18%
Jun 26270.42%
May 26248.25%
May 26260.95%
May 26277.5%
May 26263.98%
May 26247.48%
Apr 26238.74%
Apr 26143.68%
Apr 26153.53%
Apr 26148.24%
Mar 26175.37%
Mar 26171.74%
Mar 26146.47%
Mar 26153.66%
Feb 26146.52%
Feb 26152.57%
Feb 26154.25%
Feb 26137.67%
Jan 26136.76%
Jan 26103.15%
Jan 2698.34%
Jan 26102.95%
Jan 26111.82%
Dec 25104.85%
Dec 2594.33%
Dec 2594.47%
Dec 2587.64%
Nov 25117.76%
Nov 25128.12%
Nov 25122.57%
Nov 25112.93%
Oct 2594.52%
Oct 2591.1%
Oct 2592.68%
Oct 2590.24%
Oct 2576.2%
Sep 2578.04%
Sep 2569.95%
Sep 2575.97%
Sep 2587.22%
Aug 2584%
Aug 2586.38%
Aug 2589.39%
Aug 2592.82%
Aug 25101.43%
Jul 2581.34%
Jul 2590.89%
Jul 2596.21%
Jul 25117.33%
Jun 25112.94%
Jun 25134.87%
Jun 25144.89%
Jun 25126.24%
May 2595.8%
May 25230.42%
May 25175.05%
May 25180.26%
May 25159.12%
Apr 25147.18%
Apr 25117.57%
Apr 2582.38%
Apr 2574.1%
Mar 2555.14%
Mar 2571.03%
Mar 2564.67%
Mar 2568.16%
Feb 2563.45%
Feb 2539.14%
Feb 2548.72%
Feb 2556.52%
Jan 2552.94%
Jan 2548.31%
Jan 2544.53%
Jan 2540.46%
Jan 2530.58%
Dec 2421.57%
Dec 2446.6%
Dec 2462.31%
Dec 2461.82%
Nov 2460.25%
Nov 245.88%
Nov 246.24%
Nov 245.85%
Nov 245.82%
Oct 245.63%
Oct 245.52%
Price to Sales
0246med 0.86Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Price to Sales by quarter
PeriodPrice to Sales
Sep 260.06
Sep 260.08
Aug 260.08
Aug 260.09
Aug 260.09
Aug 260.08
Jul 260.08
Jul 260.07
Jul 260.08
Jul 260.09
Jul 260.1
Jun 260.09
Jun 260.1
Jun 260.1
Jun 260.1
May 260.11
May 260.1
May 260.1
May 260.1
May 260.11
Apr 260.11
Apr 260.53
Apr 260.5
Apr 260.51
Mar 260.43
Mar 260.44
Mar 260.52
Mar 260.49
Feb 260.52
Feb 260.5
Feb 260.49
Feb 260.55
Jan 260.56
Jan 260.74
Jan 260.77
Jan 260.74
Jan 260.68
Dec 250.73
Dec 250.81
Dec 250.81
Dec 250.87
Nov 251.15
Nov 251.06
Nov 251.11
Nov 251.2
Oct 251.44
Oct 251.49
Oct 251.46
Oct 251.5
Oct 251.78
Sep 251.74
Sep 251.65
Sep 251.51
Sep 251.32
Aug 251.37
Aug 251.33
Aug 251.29
Aug 251.24
Aug 251.13
Jul 251.41
Jul 251.27
Jul 251.2
Jul 250.98
Jun 251.02
Jun 250.85
Jun 250.79
Jun 250.91
May 251.2
May 250.43
May 250.56
May 250.55
May 250.62
Apr 250.67
Apr 250.52
Apr 250.75
Apr 250.83
Mar 251.11
Mar 250.86
Mar 250.95
Mar 250.9
Feb 250.97
Feb 251.57
Feb 251.26
Feb 251.09
Jan 251.16
Jan 251.27
Jan 251.38
Jan 251.52
Jan 252.01
Dec 242.85
Dec 241.32
Dec 240.98
Dec 240.99
Nov 241.02
Nov 244.86
Nov 244.59
Nov 244.89
Nov 244.92
Oct 245.09
Oct 245.19
EV/EBITDA
-2000200400600800med -14.93Jul 20Nov 20Jul 25Oct 25Feb 26May 26Sep 26
WIMI EV/EBITDA by quarter
PeriodEV/EBITDA
Sep 26-6.15
Sep 26-6.13
Aug 26-6.12
Aug 26-6.11
Aug 26-6.12
Aug 26-6.12
Jul 26-6.13
Jul 26-6.13
Jul 26-6.13
Jul 26-6.1
Jul 26-6.1
Jun 26-6.1
Jun 26-6.09
Jun 26-6.09
Jun 26-6.1
May 26-6.08
May 26-6.09
May 26-6.1
May 26-6.09
May 26-6.08
Apr 26-6.08
Apr 26-21.2
Apr 26-21.31
Apr 26-21.25
Mar 26-21.5
Mar 26-21.47
Mar 26-21.23
Mar 26-21.31
Feb 26-21.24
Feb 26-21.3
Feb 26-21.32
Feb 26-21.13
Jan 26-21.12
Jan 26-20.55
Jan 26-20.44
Jan 26-20.55
Jan 26-20.73
Dec 25-20.59
Dec 25-20.33
Dec 25-20.34
Dec 25-20.14
Nov 25-16.34
Nov 25-16.62
Nov 25-16.48
Nov 25-16.2
Oct 25-15.49
Oct 25-15.33
Oct 25-15.41
Oct 25-15.29
Oct 25-14.46
Sep 25-14.58
Sep 25-23.72
Sep 25-24.45
Sep 25-25.53
Aug 25-25.25
Aug 25-25.46
Aug 25-25.71
Aug 25-25.98
Aug 25-26.56
Jul 25-25
Jul 25-25.83
Jul 25-26.22
Jul 25-27.42
Jun 25-27.21
Jun 25-28.13
Jun 25-28.46
Jun 25-27.8
May 25-26.19
May 25-51.39
May 25-48.95
May 25-49.24
May 25-47.93
Apr 25-47.03
Nov 20379.11
Nov 20368.35
Nov 20342.36
Nov 20360.95
Oct 20333.77
Oct 20333.98
Oct 20356.81
Oct 20313.41
Oct 20316.17
Sep 20357.46
Sep 20394.03
Sep 20401.56
Sep 20368.89
Aug 20298.27
Aug 20322.18
Aug 20341.62
Aug 20361.27
Jul 20277.55
Jul 20469.35
Jul 20680.9
Jul 20611.86
Jul 20144.71
Jun 20146.22
Jun 20145.23
Jun 20147.14
Jun 20144.17
May 20113.36
Price/Operating Cashflow
051015med 0.89Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Price/Operating Cashflow by quarter
PeriodPrice/Operating Cashflow
Sep 260.17
Sep 260.19
Aug 260.21
Aug 260.22
Aug 260.22
Aug 260.22
Jul 260.19
Jul 260.19
Jul 260.2
Jul 260.24
Jul 260.25
Jun 260.24
Jun 260.26
Jun 260.26
Jun 260.25
May 260.28
May 260.26
May 260.25
May 260.26
May 260.28
Apr 260.29
Apr 260.64
Apr 260.6
Apr 260.62
Mar 260.52
Mar 260.53
Mar 260.63
Mar 260.6
Feb 260.63
Feb 260.6
Feb 260.59
Feb 260.67
Jan 260.67
Jan 260.89
Jan 260.93
Jan 260.89
Jan 260.82
Dec 250.88
Dec 250.97
Dec 250.97
Dec 251.05
Nov 250.85
Nov 250.78
Nov 250.82
Nov 250.89
Oct 251.06
Oct 251.1
Oct 251.08
Oct 251.11
Oct 251.31
Sep 251.28
Sep 251.43
Sep 251.32
Sep 251.15
Aug 251.19
Aug 251.16
Aug 251.12
Aug 251.08
Aug 250.99
Jul 251.23
Jul 251.1
Jul 251.04
Jul 250.85
Jun 250.89
Jun 250.74
Jun 250.69
Jun 250.79
May 251.04
May 250.43
May 250.57
May 250.55
May 250.63
Apr 250.68
Apr 250.78
Apr 251.11
Apr 251.23
Mar 251.65
Mar 251.28
Mar 251.41
Mar 251.34
Feb 251.44
Feb 252.33
Feb 251.87
Feb 251.61
Jan 251.72
Jan 251.89
Jan 252.05
Jan 252.26
Jan 252.98
Dec 244.23
Dec 241.96
Dec 241.46
Dec 241.48
Nov 241.51
Nov 2412.25
Nov 2411.55
Nov 2412.32
Nov 2412.38
Oct 2412.81
Oct 2413.07
Price to Book
01234med 0.21Dec 24Apr 25Jul 25Oct 25Feb 26May 26Sep 26
WIMI Price to Book by quarter
PeriodPrice to Book
Sep 260.02
Sep 260.02
Aug 260.02
Aug 260.02
Aug 260.02
Aug 260.02
Jul 260.02
Jul 260.02
Jul 260.02
Jul 260.03
Jul 260.03
Jun 260.03
Jun 260.03
Jun 260.03
Jun 260.03
May 260.03
May 260.03
May 260.03
May 260.03
May 260.03
Apr 260.03
Apr 260.09
Apr 260.08
Apr 260.08
Mar 260.07
Mar 260.07
Mar 260.08
Mar 260.08
Feb 260.08
Feb 260.08
Feb 260.08
Feb 260.09
Jan 260.09
Jan 260.12
Jan 260.13
Jan 260.12
Jan 260.11
Dec 250.12
Dec 250.13
Dec 250.13
Dec 250.14
Nov 250.21
Nov 250.19
Nov 250.2
Nov 250.22
Oct 250.26
Oct 250.27
Oct 250.27
Oct 250.27
Oct 250.32
Sep 250.31
Sep 250.33
Sep 250.31
Sep 250.27
Aug 250.28
Aug 250.27
Aug 250.26
Aug 250.25
Aug 250.23
Jul 250.29
Jul 250.26
Jul 250.24
Jul 250.2
Jun 250.21
Jun 250.17
Jun 250.16
Jun 250.18
May 250.24
May 250.17
May 250.22
May 250.21
May 250.24
Apr 250.26
Apr 250.22
Apr 250.31
Apr 250.34
Mar 250.46
Mar 250.36
Mar 250.4
Mar 250.37
Feb 250.4
Feb 250.65
Feb 250.52
Feb 250.45
Jan 250.48
Jan 250.53
Jan 250.57
Jan 250.63
Jan 250.84
Dec 241.19
Dec 240.55
Dec 240.41
Dec 240.41
Nov 240.42
Nov 243.41
Nov 243.21
Nov 243.43
Nov 243.45
Oct 243.57
Oct 243.64
WiMi Hologram Cloud Inc.
WIMI
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News: WIMI

WiMi Develops Variational Quantum Algorithm-Driven Multi-Dimensional Data Pooling Optimization Technology

prnewswire.com · 8 Sep 2026

WiMi Develops Variational Quantum Algorithm-Driven Multi-Dimensional Data Pooling Optimization Technology

BEIJING, Sept. 8, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the proposal of a multi-dimensional pooling optimization scheme based on Variational Quantum Algorithms (VQA), which, by integrating the Quantum Haar Transform (QHT) with quantum partial measurement technology, constructs a quantum pooling mechanism that simultaneously possesses local feature preservation capability and dimension compression efficiency.

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

prnewswire.com · 21 Aug 2026

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

BEIJING, Aug. 21, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a cutting-edge quantum machine learning technology oriented toward classical data classification tasks—a quantum convolutional neural network with interaction layers for classical data classification. This technology systematically enhances the overall performance of quantum convolutional neural networks in terms of expressive power, entanglement generation capability, and actual classification performance by introducing a novel interaction layer structure based on three-qubit interactions, marking an important step forward in the structural design of quantum deep learning models toward a new phase driven by multi-body interactions.

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

gurufocus.com · 13 Aug 2026

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification PR Newswire BEIJ

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

prnewswire.com · 13 Aug 2026

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

BEIJING, Aug. 13, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a globally leading technology provider, announces a major breakthrough in releasing Hybrid Quantum Neural Network (H-QNN), an innovative hybrid quantum-classical neural network technology tailored for the image recognition sector. The technology creatively integrates parameterised quantum circuits with classical neural network architectures and has been successfully deployed for binary image classification tasks on the MNIST dataset, delivering outstanding performance in classification accuracy, feature representation capability, and model training efficiency.

WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine Learning Models

prnewswire.com · 4 Aug 2026

WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine Learning Models

BEIJING, Aug. 4, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring a federated training framework for hybrid quantum-classical machine learning models, deeply integrating quantum neural networks (QNN) with classical pre-trained convolutional models, achieving dual breakthroughs in model accuracy and training efficiency through a distributed quantum computing architecture, and opening up innovative technical paths for data privacy protection and large-scale model training. Quantum computers, through the superposition and entanglement states of qubits, can process an exponential number of computational tasks in parallel.

WiMi Hologram Cloud Inc. Conducts Technical Research on Quantum Visual Tracking Algorithms

prnewswire.com · 27 Jul 2026

WiMi Hologram Cloud Inc. Conducts Technical Research on Quantum Visual Tracking Algorithms

BEIJING, July 27, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a globally leading technology provider, has delved into the interdisciplinary field of quantum computing and computer vision to carry out research on quantum visual tracking algorithm technology. Deeply integrating the core characteristics of quantum computing with classic visual tracking frameworks, this algorithm reconstructs the full-process logic of algorithm training and detection, achieving technological innovations at the underlying computing power and algorithm architecture levels.

WiMi Releases Resource-Efficient Quantum Convolutional Neural Network Based on QRAM, Accelerating the Practical Implementation of Large-Scale Image Classification Applications

prnewswire.com · 20 Jul 2026

WiMi Releases Resource-Efficient Quantum Convolutional Neural Network Based on QRAM, Accelerating the Practical Implementation of Large-Scale Image Classification Applications

BEIJING, July 20, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the release of its latest independently developed achievement—a quantum convolutional neural network for efficient image classification based on quantum random access memory (QRAM). This technology is oriented toward typical image classification tasks with large-scale input data and multiple output channels.

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

prnewswire.com · 29 Jun 2026

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

BEIJING, June 29, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they are researching the use of neural networks for machine learning to optimize parameters in the dual-field quantum key distribution (TF-QKD) system. This innovative approach aims to leverage the powerful fitting ability and generalization performance of neural networks to directly predict the optimal parameter configuration for the TF-QKD system, significantly reducing computation time and resource consumption.

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