sqc | A simple digital quantum computer simulator

by lehner Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | sqc Summary

sqc is a Python library typically used in Quantum Computing applications. sqc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However sqc build file is not available. You can download it from GitHub.

This repository contains a simple digital quantum computer simulator. Its main purpose is to illustrate concepts introduced in an accompanying lecture on quantum computing. As an example, creating an entangled Bell state and performing ten classical measurements can be done by the simple code.

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Support

sqc has a low active ecosystem.

It has 4 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

sqc has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sqc is current.

Quality

sqc has no bugs reported.

Security

sqc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sqc is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sqc releases are not available. You will need to build from source code and install.

sqc has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed sqc and discovered the below as its top functions. This is intended to give you an instant insight into sqc implemented functionality, and help decide if they suit your requirements.

Convenience function to solve the qubits
Generate one qubit state
Evaluate the quadratic decomposition
Compute one - qubit diagonal
Raise an error
Sets the NOT operator
Create a new instance where clause i e
Assert that of is balanced
Construct a CNOT operator
Endif condition
Z operator
Create a CNOT operator
Return an operator
Sample from a bitstring
Measure the distribution
Permute the remainder of the expression
Set bit in l
Sample from an op
X operator
Boolean operator
Construct an IF instruction
Matrix multiplication
Sets the H operator
Convert to OpenQASM format

Get all kandi verified functions for this library.

sqc Key Features

No Key Features are available at this moment for sqc.

sqc Examples and Code Snippets

No Code Snippets are available at this moment for sqc.

Community Discussions

Trending Discussions on sqc

How to use spark agg and filter for this example?

How to get postgres command 'nth_value' equivalent in pyspark Hive SQL for partition over?

How to get postgres command 'nth_value' equivalent in pyspark Hive SQL?

How to extract osm data using osmar

Extract info from filename

Using iText 7 and Java generating pdf can not wrap long English words

write bad json records to separate flowFile using Groovy (InvokedScriptedProcessor)

Pyspark JSON string parsing - Error: ValueError: 'json' is not in list - no Pandas

How to register udf with input Array[(Date, Double)] in spark

Unresolved External Symbol Error while compiling dblognoconn.obj

QUESTION

How to use spark agg and filter for this example?

Asked 2020-Jul-23 at 19:43

I was working on the spark dataframe methods and stuck how to achieve the following result.

spark sql (this works) ...

ANSWER

Answered 2020-Jul-23 at 19:43

You can use a when..otherwise condition in aggregate functions.

Source https://stackoverflow.com/questions/63061941

QUESTION

How to get postgres command 'nth_value' equivalent in pyspark Hive SQL for partition over?

Asked 2020-Jul-21 at 23:04

I was solving this example : https://www.windowfunctions.com/questions/grouping/6
Here, they use Oracle or postgres command nth_value to get the answer, but this is not implemented in Hive SQL which is used by pyspark and I was wondering how to obtain the same result in pyspark.

postgres sql code ...

ANSWER

Answered 2020-Jul-21 at 23:04

If you want the second lowest weight per breed:

Source https://stackoverflow.com/questions/63024325

QUESTION

How to get postgres command 'nth_value' equivalent in pyspark Hive SQL?

Asked 2020-Jul-21 at 21:49

I was solving this example : https://www.windowfunctions.com/questions/grouping/5
Here, they use Oracle or postgres command nth_value to get the answer, but this is not implemented in Hive SQL which is used by pyspark and I was wondering how to obtain the same result in pyspark.

postgres sql code

All weights greater than 4th are assigned 4th smallest weight
First three lightest weights are assigned value 99.9

...

ANSWER

Answered 2020-Jul-21 at 21:48

An alternative option is row_number() and a conditional window function:

Source https://stackoverflow.com/questions/63023375

QUESTION

How to extract osm data using osmar

Asked 2020-May-26 at 14:42

Similar to this question I get an error from get_osm

...

ANSWER

Answered 2020-May-26 at 14:42

The following code should work for reading into R the muenchen.osm.gz file.

Source https://stackoverflow.com/questions/62005168

QUESTION

Extract info from filename

Asked 2020-May-13 at 12:24

I wonder how I would extract the information below from the filename? The last 3 digits in the filename is the injection order. After"POS_" the sample type is presented. Any suggestions? Thanks!

...

ANSWER

Answered 2020-May-13 at 12:22

Try this:

Source https://stackoverflow.com/questions/61774056

QUESTION

Using iText 7 and Java generating pdf can not wrap long English words

Asked 2020-Apr-27 at 08:32

Using iText 7 and Java generating PDF can not wrap long Engish words.

When there is a long word in a cell, the word is not wrapping inside the cell, rather it is growing and table content is missing in PDF. No idea how to wrap the long word in cell.

I am using iText 7 for PDF generation.

This is my Java file:

...

ANSWER

Answered 2020-Apr-26 at 22:14

Default split strategy is to find space characters and other characters that the text is usually split at (e.g. hyphen -). In your case words don't have such characters. You already made a half-step towards customizing the split characters for your text by defining SPLIT_CHARACTERS property, but the missing part is making your custom ISplitCharacters implementation. Example implementation that also allows underscores (_) as split characters:

Source https://stackoverflow.com/questions/61431370

QUESTION

write bad json records to separate flowFile using Groovy (InvokedScriptedProcessor)

Asked 2020-Feb-12 at 19:27

I want to separate the Bad JSON records from the flowfile and my NiFi job should continue processing the Good JSON records. I checked the "ValidateRecord" processor. But since the JSON structure itself is wrong for few records (e.g., "CT":"UTF-8""), NiFi transferring the entire flowfile to Failure relationship. Since am already using a Groovy script to parse the JSON to CSV, I am thinking of writing the error records to a separate flowfile while parsing in the same Groovy script. But am struggling to modify as am new to Groovy. Could anyone help?

In case of any error in parsing, then it should write to "failure" relationship flowFile otherwise "success" relationship flowFile. something like..

...

ANSWER

Answered 2020-Feb-12 at 19:27

here is an example how to write two files to different relations for ExecuteGroovyScript processor

assume there is a text file as input with numbers on each line

Source https://stackoverflow.com/questions/60192876

QUESTION

Pyspark JSON string parsing - Error: ValueError: 'json' is not in list - no Pandas

Asked 2019-Dec-07 at 00:56

I have a Hive table with Scalar/normal values with a column as JSON in String format. Let's take below list data as an example:

...

ANSWER

Answered 2019-Dec-06 at 19:52

In your example, the 2 JSON strings do not have the same schema so which one is correct? If it's not the same schema in all rows you'll lose some data when parsing.

To parse that column you can first infer the schema from one json string (collect one value and pass it to schema_of_json). Something like this:

Source https://stackoverflow.com/questions/59218571

QUESTION

How to register udf with input Array[(Date, Double)] in spark

Asked 2019-Nov-26 at 19:10

I have to write a udf whose parameter is Array[(Date, Double)]( the result of collect_list(struct(col1, col2)).

...

ANSWER

Answered 2019-Nov-26 at 19:10

your input should be Seq[Row], then map the Row to (Date,Double) using getAs[T](...) methods on Row

Source https://stackoverflow.com/questions/59051503

QUESTION

Unresolved External Symbol Error while compiling dblognoconn.obj

Asked 2019-Sep-16 at 11:27

I am working with DB2 LUW latest version. I Have to read the logs through dblognoconn.sqc file.

I followed the steps from this documentation

Precompiled Using -> "bldapp dblognoconn" I got .c file and .bnd file

I created obj file using this command -> cl -Zi -Od -c -W2 -DWIN32 dblognoconn.c

.obj is created successfully with following warnings,

...

ANSWER

Answered 2019-Sep-16 at 11:27

You need to specify the DB2 library (plus any other external libraries you call) file that contains the binary for symbols like CmdLineArgsCheck3.

This suggests the DB2 library might be called db2api.lib.

You must either have the library file(s) in the local directory or add a linker option that points to their directory.

Source https://stackoverflow.com/questions/57954266

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install sqc

You can download it from GitHub.
You can use sqc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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